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  • 【DeepLearning】一些资料

    记录下,有空研究。

    http://nlp.stanford.edu/projects/DeepLearningInNaturalLanguageProcessing.shtml

    http://nlp.stanford.edu/courses/NAACL2013/

    Fast and Robust Neural Network Joint Models for Statistical Machine Translation

    ACL2014的论文列表

    http://blog.sina.com.cn/s/blog_49b5f5080101dinc.html

    ACL 2014 Accepted Long Papers
    A Bayesian Mixed Effects Model of Literary Character

    David Bamman, Ted Underwood and Noah A. Smith

    A chance corrected measure of inter-annotator agreement for syntax

    Arne Skjærholt
    A Decision-Theoretic Approach to Natural Language Generation

    Nathan McKinley and Soumya Ray

    A Discriminative Graph-Based Parser for the Abstract Meaning Representation

    Jeffrey Flanigan, Sam Thomson, Jaime Carbonell, Chris Dyer and Noah A. Smith

    A Generalized Language Model as the Combination of Skipped n-grams and Modified Kneser Ney Smoothing

    Rene Pickhardt, Thomas Gottron, Martin Körner, Paul Georg Wagner, Till Speicher and Steffen Staab

    A Joint Graph Model for Pinyin-to-Chinese Conversion with Typo Correction

    Zhongye Jia and Hai Zhao

    A Lagrangian Relaxation Algorithm for Bidirectional Word Alignment

    Alexander M. Rush, Michael Collins, Yin-Wen Chang and John DeNero

    A Linear-Time Bottom-Up Discourse Parser with Constraints and Post-Editing

    Vanessa Wei Feng and Graeme Hirst

    A practical but linguistically-motivated approach to compositional distributional semantics

    Denis Paperno, The Nghia Pham and Marco Baroni

    A Provably Correct Learning Algorithm for Latent-Variable PCFGs

    Shay B. Cohen and Michael Collins

    A Recursive Recurrent Neural Network for Statistical Machine Translation

    Shujie Liu, Nan Yang, Mu Li and Ming Zhou

    A Robust Approach to Aligning Heterogeneous Lexical Resources

    Mohammad Taher Pilehvar and Roberto Navigli

    A Semiparametric Gaussian Copula Regression Model for Predicting Financial Risks from Earnings Calls

    William Yang Wang and Zhenhao Hua

    A Sense-Based Translation Model for Statistical Machine Translation

    Deyi Xiong and Min Zhang

    A Sentence Model based on Convolutional Neural Networks

    Nal Kalchbrenner, Edward Grefenstette and Phil Blunsom

    A Step-wise Usage-based Method for Inducing Polysemy-aware Verb Classes

    Daisuke Kawahara, Daniel Peterson and Martha Palmer

    A Study of Concept-based Weighting Regularization for Medical Records Search

    Yue Wang, Xitong Liu and Hui Fang

    A Unified Model for Soft Linguistic Reordering Constraints in Statistical Machine Translation

    Junhui Li, Yuval Marton, Philip Resnik and Hal Daumé III

    Abstractive Summarization of Spoken and Written Conversations Based on Phrasal Queries

    Yashar Mehdad, Giuseppe Carenini and Raymond T. NG

    Active Learning with Efficient Feature Weighting Methods for Improving Data Quality and Classification Accuracy

    Justin Martineau, Lu Chen, Doreen Cheng and Amit Sheth

    Adaptive Quality Estimation for Document-Specific MT Post-editing

    Fei Huang, Jian-Ming Xu and Abraham Ittycheriah

    Adaptive Quality Estimation for Machine Translation

    Marco Turchi, Antonios Anastasopoulos, José Guilherme Camargo de Souza and Matteo Negri

    Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing

    Zhenghua Li, Min Zhang and Wenliang Chen

    Anchors Regularized: Adding Robustness and Extensibility to Scalable Topic-Modeling Algorithms

    Thang Nguyen, Yuening Hu and Jordan Boyd-Graber

    Approximation Strategies for Multi-Structure Sentence Compression

    Kapil Thadani

    Aspect Extraction with Automated Prior Knowledge Learning

    Zhiyuan Chen, Arjun Mukherjee and Bing Liu

    Automatic Keyphrase Extraction: A Survey

    Kazi Saidul Hasan and Vincent Ng

    Behavior of Negation Words in Modifying Sentiment

    Xiaodan Zhu, Hongyu Guo, Saif Mohammad and Svetlana Kiritchenko

    Bilingual Active Learning for Relation Classification via Pseudo Parallel Corpora

    Longhua Qian and Guodong Zhou

    Bilingually-constrained Phrase Embeddings for Machine Translation

    Jiajun Zhang, Shujie Liu, Mu Li, Ming Zhou and Chengqing Zong

    Bootstrapping into Filler-Gap: An Acquisition Story

    Marten van Schijndel and Micha Elsner

    Can You Repeat That? Using Word Repetition to Improve Spoken Term Detection

    Jonathan Wintrode and Sanjeev Khudanpur

    Character-Level Chinese Dependency Parsing

    Meishan Zhang, Yue Zhang, Wanxiang Che and Ting Liu

    Collective Tweet Wikification based on Semi-supervised Graph Regularization

    Hongzhao Huang, Yunbo Cao, Xiaojiang Huang, Heng Ji and Chin-Yew Lin

    Comparing Multi-label Classification with Reinforcement Learning for Summarisation of Time-series Data

    Dimitra Gkatzia, Helen Hastie and Oliver Lemon

    ConnotationWordNet: Learning Connotation of the Word+Sense Network

    Leman Akoglu, Jun Seok Kang, Song Feng and Yejin Choi

    Context-aware Learning for Sentence-level Sentiment with Posterior Regularization

    Bishan Yang and Claire Cardie

    Context-dependent Semantic Parsing for Time Expressions

    Kenton Lee, Yoav Artzi, Jesse Dodge and Luke Zettlemoyer

    Correcting Preposition Errors in Learner English Using Error Case Frames and Feedback Messages

    Ryo Nagata, Mikko Vilenius and Edward Whittaker

    CoSimRank: A Flexible & Efficient Graph-Theoretic Similarity Measure

    Sascha Rothe and Hinrich Schuetze

    Cross-narrative Temporal Ordering of Medical Events

    Preethi Raghavan, Eric Fosler-Lussier, Noemie Elhadad and Albert Lai

    Discourse Complements Lexical Semantics for Non-factoid Answer Reranking

    Peter Jansen, Mihai Surdeanu and Peter Clark

    Discovering Latent Structure in Task-Oriented Dialogues

    Ke Zhai and Jason Williams

    Distant Supervision for Relation Extraction with Matrix Completion

    Miao Fan, Deli Zhao, Qiang Zhou, Zhiyuan Liu, Thomas Fang Zheng and Edward Y. Chang

    Don't count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors

    Georgiana Dinu, Germán Kruszewski and Marco Baroni

    Encoding Explicit Relation Requirements for Relation Extraction via Joint Inference

    Liwei Chen, Y. Feng and Dongyan Zhao

    Enhancing Grammatical Cohesion: Generating Transitional Expressions for SMT

    Mei Tu, Yu Zhou and Chengqing Zong

    Exploiting Timelines to Enhance Multi-document Summarization

    Jun-Ping Ng, Yan Chen, Min-Yen Kan and Zhoujun Li

    Extracting Opinion Targets and Opinion Words from Online Reviews with Graph Co-ranking

    Kang Liu, Liheng Xu and Jun Zhao

    Fast and Robust Neural Network Joint Models for Statistical Machine Translation

    Jacob Devlin, Rabih Zbib, Zhongqiang Huang, Thomas Lamar, Richard Schwartz and John Makhoul

    Generating Code-switched Text for Lexical Learning

    Igor Labutov and Hod Lipson

    Grammatical Relations in Chinese: GB-Ground Extraction and Data-Driven Parsing

    Weiwei Sun, Yantao Du, Xin Kou, Shuoyang Ding and Xiaojun Wan

    Graph-based Semi-Supervised Learning of Translation Models from Monolingual Data

    Avneesh Saluja, Hany Hassan, Kristina Toutanova and Chris Quirk

    Hierarchical Summarization: Scaling Up Multi-Document Summarization

    Janara Christensen, Stephen Soderland, Gagan Bansal and Mausam Mausam

    How to make words with vectors: Phrase generation in distributional semantics

    Georgiana Dinu and Marco Baroni

    Hybrid Simplification using Deep Semantics and Machine Translation

    Shashi Narayan and Claire Gardent

    Incremental Joint Extraction of Entity Mentions and Relations

    Qi Li and Heng Ji

    Inferring User Political Preferences from Streaming Communications

    Svitlana Volkova, Glen Coppersmith and Benjamin Van Durme

    Information Extraction over Structured Data: Question Answering with Freebase

    Xuchen Yao and Benjamin Van Durme

    Interpretable Semantic Vectors from a Joint Model of Brain- and Text- Based Meaning

    Alona Fyshe, Partha Pratim Talukdar, Brian Murphy and Tom M Mitchell

    Is this a wampimuk? Linking distributional semantics to the world

    Angeliki Lazaridou, Elia Bruni and Marco Baroni

    Joint POS Tagging and Transition-based Constituent Parsing in Chinese with Non-local Features

    Zhiguo Wang and Nianwen Xue

    Joint Syntactic and Semantic Parsing with Combinatory Categorial Grammar

    Jayant Krishnamurthy and Tom Mitchell

    Kneser-Ney Smoothing on Expected Counts

    Hui Zhang and David Chiang

    Knowledge-Based Question Answering as Machine Translation

    Junwei Bao, Nan Duan, Ming Zhou and Tiejun Zhao

    Language-Aware Truth Assessment of Fact Candidates

    Ndapandula Nakashole and Tom M. Mitchell

    Lattice Desegmentation for Statistical Machine Translation

    Mohammad Salameh, Colin Cherry and Greg Kondrak

    Learning Continuous Phrase Representations for Translation Modeling

    Jianfeng Gao, Xiaodong He, Scott Wen-tau Yih and Li Deng

    Learning Grounded Meaning Representations with Autoencoders

    Carina Silberer and Mirella Lapata

    Learning New Semi-Supervised Deep Auto-encoder Features for Statistical Machine Translation

    Shixiang Lu

    Learning Semantic Hierarchies via Word Embeddings

    Ruiji Fu, Jiang Guo, Bing Qin, Wanxiang Che, Haifeng WANG and Ting Liu

    Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification

    Duyu Tang, Furu Wei, Nan Yang, Ming Zhou, Bing Qin and Ting Liu

    Learning Soft Linear Constraints with Application to Citation Field Extraction

    Sam Anzaroot, Alexandre Passos, David Belanger and Andrew McCallum

    Learning Structured Perceptrons for Coreference Resolution with Latent Antecendents and Non-local Features

    Anders Björkelund and Jonas Kuhn

    Learning to Automatically Solve Algebra Word Problems

    Nate Kushman, Luke Zettlemoyer, Regina Barzilay and Yoav Artzi

    Learning to Predict Distributions of Words Across Domains

    Danushka Bollegala, David Weir and John Carroll

    Learning Topic Representation for SMT with Neural Networks

    Lei Cui, Dongdong Zhang, Shujie Liu, Qiming Chen, Mu Li and Ming Zhou

    Learning Word Sense Distributions, Detecting Unattested Senses and Identifying Novel Senses Using Topic Models

    Jey Han Lau, Paul Cook, Diana McCarthy, Spandana Gella and Timothy Baldwin

    Less Grammar, More Features

    David Hall, Greg Durrett and Dan Klein

    Lexical Inference over Multi-Word Predicates: A Distributional Approach

    Omri Abend, Shay Cohen and Mark Steedman

    Linguistic Structured Sparsity in Text Categorization

    Dani Yogatama and Noah A. Smith

    Logical Inference on Dependency-based Compositional Semantics

    Ran Tian, Yusuke Miyao and Takuya Matsuzaki

    Looking at Unbalanced Specialized Comparable Corpora for Bilingual Lexicon Extraction

    Emmanuel Morin and Amir Hazem

    Low-Rank Tensors for Scoring Dependency Structures

    Tao Lei, Yu Xin, Yuan Zhang, Regina Barzilay and Tommi Jaakkola

    Low-Resource Semantic Role Labeling

    Matthew R. Gormley, Margaret Mitchell, Benjamin Van Durme and Mark Dredze

    Max-Margin Tensor Neural Network for Chinese Word Segmentation

    Wenzhe Pei, Tao Ge and Baobao Chang

    Medical Relation Extraction With Manifold Models

    Chang Wang and James Fan

    Metaphor Detection with Cross-Lingual Model Transfer

    Yulia Tsvetkov, Leonid Boytsov, Anatole Gershman, Eric Nyberg and Chris Dyer

    Modelling Events through Memory-based, Open-IE Patterns for Abstractive Summarization

    Daniele Pighin, Marco Cornolti, Enrique Alfonseca and Katja Filippova

    Modelling function words improves unsupervised word segmentation

    Mark Johnson, Anne Christophe, Emmanuel Dupoux and Katherine Demuth

    Multilingual Models for Compositional Distributed Semantics

    Karl Moritz Hermann and Phil Blunsom

    Negation Focus Identification with Contextual Discourse Information

    Bowei Zou, Guodong Zhou and Qiaoming Zhu

    New Word Detection for Sentiment Analysis

    Minlie Huang, Borui Ye, Yichen Wang and Xiaoyan Zhu

    Nonparametric Learning of Phonological Constraints in Optimality Theory

    Gabriel Doyle, Klinton Bicknell and Roger Levy

    Online Learning in Tensor Space

    Yuan Cao and Sanjeev Khudanpur

    Opinion Mining on YouTube

    Aliaksei Severyn, Olga Uryupina, Barbara Plank, Alessandro Moschitti and Katja Filippova

    Pattern Dictionary of English Prepositions

    Ken Litkowski

    Perplexity on Reduced Corpora

    Hayato Kobayashi

    Political Ideology Detection Using Recursive Neural Networks

    Mohit Iyyer, Peter Enns, Jordan Boyd-Graber and Philip Resnik

    Polylingual Tree-Based Topic Models for Translation Domain Adaptation

    Yuening Hu, Ke Zhai, Vladimir Eidelman and Jordan Boyd-Graber

    Predicting Instructor's Intervention in MOOC forums

    Snigdha Chaturvedi, Dan Goldwasser and Hal Daumé III

    Predicting the relevance of distributional semantic similarity with contextual information

    Clémentine Adam, Philippe Muller and Cécile Fabre

    Probabilistic Soft Logic for Semantic Textual Similarity

    Islam Beltagy, Katrin Erk and Raymond Mooney

    Product Feature Mining: Semantic Clues versus Syntactic Constituents

    Liheng Xu, Siwei Lai, Kang Liu and Jun Zhao

    Prompt Adherence Measurement in Argumentative Text

    Isaac Persing and Vincent Ng

    Query-Chain Focused Summarization

    Tal Baumel, Michael Elhadad and Raphael Cohen

    Recurrent Neural Networks for Word Alignment Model

    Akihiro Tamura, Taro Watanabe and Eiichiro Sumita

    ReNew: A Semi-Supervised Framework for Generating Domain-Specific Lexicons and Sentiment Analysis

    Zhe Zhang and Munindar P. Singh

    Representation Learning for Text-level Discourse Parsing

    Yangfeng Ji and Jacob Eisenstein

    Response-based Learning for Grounded Machine Translation

    Stefan Riezler, Patrick Simianer and Carolin Haas

    Robust Domain Adaptation for Relation Extraction via Clustering Consistency

    Minh Luan Nguyen, Ivor W. Tsang, Kian Ming A. Chai and Hai Leong Chieu

    Robust Entity Clustering via Phylogenetic Inference

    Nicholas Andrews, Jason Eisner and Mark Dredze

    Semantic Frame Identification with Distributed Word Representations

    Karl Moritz Hermann, Dipanjan Das, Jason Weston and Kuzman Ganchev

    Semantic Parsing via Paraphrasing

    Jonathan Berant and Percy Liang

    Shallow Analysis Based Assessment of Syntactic Complexity for Automated Speech Scoring

    Suma Bhat, Huichao Xue and Su-Youn Yoon

    Shift-Reduce CCG Parsing with a Dependency Model

    Wenduan Xu, Yue Zhang and Stephen Clark

    Simple Negation Scope Resolution Through Deep Parsing: A Semantic Solution to a Semantic Problem

    Woodley Packard, Emily M. Bender, Jonathon Read, Stephan Oepen and Rebecca Dridan

    Single-Agent vs. Multi-Agent Techniques for Concurrent Reinforcement Learning of Negotiation Dialogue Policies

    Kallirroi Georgila, Claire Nelson and David Traum

    Smart Selection

    Patrick Pantel, Michael Gamon and Ariel Fuxman

    Sparser, Better, Faster GPU Parsing

    David Hall, Taylor Berg-Kirkpatrick and Dan Klein

    Spectral Unsupervised Parsing with Additive Tree Metrics

    Ankur Parikh, Shay Cohen and Eric Xing

    Steps to Excellence: Simple Inference with Refined Scoring of Dependency Trees

    Yuan Zhang, Tao Lei, Regina Barzilay, Tommi Jaakkola and Amir Globerson

    Strategies for Multiword Expression Analysis and Dependency Parsing

    Marie Candito and Matthieu Constant

    Structured Learning for Taxonomy Induction with Belief Propagation

    Mohit Bansal, David Burkett, Gerard de Melo and Dan Klein

    Surface Realisation from Knowledge-Bases

    Bikash Gyawali and Claire Gardent

    Tagging The Web: Building A Robust Web Tagger with Neural Network

    Ji Ma, Yue Zhang and Jingbo Zhu

    Text-level Discourse Dependency Parsing

    Sujian Li, Liang Wang, Ziqiang Cao and Wenjie Li

    That’s sick dude!: Automatic identification of word sense change across different timescales

    Sunny Mitra, Ritwik Mitra, Martin Riedl, Chris Biemann, Animesh Mukherjee and Pawan Goyal

    That's Not What I Meant! Using Parsers to Avoid Structural Ambiguities in Generated Text

    Manjuan Duan and Michael White

    The effect of wording on message propagation: Topic- and author-controlled natural experiments on Twitter

    Chenhao Tan, Lillian Lee and Bo Pang

    The Omni-word Feature and Soft Constraint for Chinese Relation Extraction

    Yanping Chen, Qinghua Zheng and Wei Zhang

    Toward Better Chinese Word Segmentation for SMT via Bilingual Constraints

    Xiaodong Zeng, Lidia S. Chao, Derek F. Wong, Isabel Trancoso and Liang Tian

    Toward Future Scenario Generation: Extracting Event Causality Exploiting Semantic Relation, Context, and Association Features

    Chikara Hashimoto, Kentaro Torisawa, Julien Kloetzer, Motoki Sano, Istvan Varga, Jong-Hoon Oh and Yutaka Kidawara

    Towards a General Rule for Identifying Deceptive Opinion Spam

    Jiwei Li, Myle Ott, Claire Cardie and Edward Hovy

    Translation Assistance by Translation of L1 Fragments in an L2 Context

    Maarten van Gompel and Antal van den Bosch

    Two Heads are Better than One: Crowdsourcing Translation via a Two-Step Non-Professional Collaboration towards Professionals

    Rui Yan, Ellie Pavlick and Chris Callison-Burch

    Two Is Bigger (and Better) Than One: the Wikipedia Bitaxonomy Project

    Daniele Vannella, Tiziano Flati, Tommaso Pasini and Roberto Navigli

    Unsupervised Dependency Grammar Induction with Transferring Distribution and Entropy Regularization

    Xuezhe Ma and Fei Xia

    Unsupervised Morphology-Based Vocabulary Expansion

    Mohammad Sadegh Rasooli, Nizar Habash, Owen Rambow and Thomas Lippincot

    Unsupervised Solution Post Identification from Discussion Forums

    Deepak P and Karthik Visweswariah

    Using Discourse Structure Improves Machine Translation Evaluation

    Shafiq Joty, Lluís Màrquez, Preslav Nakov and Francisco Guzman

    Validating and Extending Semantic Knowledge Bases using Video Games with a Purpose

    Daniele Vannella, David Jurgens, Daniele Scarfini, Domenico Toscani and Roberto Navigli

    Vector space semantics with frequency-driven motifs

    Shashank Srivastava and Eduard Hovy

    Weak semantic context helps phonetic learning in a model of infant language acquisition

    Stella Frank, Naomi Feldman and Sharon Goldwater

    Weakly Supervised User Profile Extraction from Twitter

    Jiwei Li, Alan Ritter and Eduard Hovy

    Zero-shot Entity Extraction from Web Pages

    Panupong Pasupat and Percy Liang

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  • 原文地址:https://www.cnblogs.com/colipso/p/4387743.html
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