---
title: "EMNLP 2015 — all papers: 43 in our library, the most cited first"
description: "43 works of EMNLP 2015 in our library, the most cited first. Among them: Effective Approaches to Attention-based Neural Machine…"
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---
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# EMNLP 2015: all papers in our library

43 works · the most cited first · [← EMNLP 2015](https://md.research.elamur.ai/free/en/venues/emnlp/2015/)

1. **[Effective Approaches to Attention-based Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/luong-2015-effective-approaches-attention-based-neural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Thang Luong, Hieu Pham, Christopher D. Manning*2015 · 9,655 citations*
2. **[Document Modeling with Gated Recurrent Neural Network for Sentiment Classification](https://md.research.elamur.ai/free/en/papers/tang-2015-document-modeling-gated-recurrent-neural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Duyu Tang, Bing Qin, Ting Liu*2015 · 1,684 citations*
3. **[Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems](https://md.research.elamur.ai/free/en/papers/wen-2015-semantically-conditioned-lstm-based-natural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tsung-Hsien Wen, Milica Gašić, Nikola Mrkšić, et al.*2015 · 1,200 citations*
4. **[WikiQA: A Challenge Dataset for Open-Domain Question Answering](https://md.research.elamur.ai/free/en/papers/yang-2015-wikiqa-challenge-dataset-open-domain/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yi Yang, Wen-tau Yih, Christopher Meek*2015 · 1,129 citations*
5. **[Representing Text for Joint Embedding of Text and Knowledge Bases](https://md.research.elamur.ai/free/en/papers/toutanova-2015-representing-text-joint-embedding-text/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Kristina Toutanova, Danqi Chen, Patrick Pantel, et al.*2015 · 905 citations*
6. **[Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths](https://md.research.elamur.ai/free/en/papers/xu-2015-classifying-relations-long-short-term/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yan Xu, Lili Mou, Ge Li, et al.*2015 · 774 citations*
7. [**An Improved Non-monotonic Transition System for Dependency Parsing**Matthew Honnibal, Mark Johnson*2015 · 751 citations*](https://md.research.elamur.ai/free/en/papers/honnibal-2015-improved-non-monotonic-transition-system/)
8. **[Modeling Relation Paths for Representation Learning of Knowledge Bases](https://md.research.elamur.ai/free/en/papers/lin-2015-modeling-relation-paths-representation-learning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yankai Lin, Zhiyuan Liu, Huanbo Luan, et al.*2015 · 698 citations*
9. **[Evaluation methods for unsupervised word embeddings](https://md.research.elamur.ai/free/en/papers/schnabel-2015-evaluation-methods-unsupervised-word-embeddings/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tobias Schnabel, Igor Labutov, David Mimno, et al.*2015 · 674 citations*
10. **[Fine-grained Opinion Mining with Recurrent Neural Networks and Word Embeddings](https://md.research.elamur.ai/free/en/papers/liu-2015-fine-grained-opinion-mining-recurrent/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Pengfei Liu, Shafiq Joty, Helen Meng*2015 · 590 citations*
11. [**Solving General Arithmetic Word Problems**Subhro Roy, Dan Roth*2015 · 580 citations*](https://md.research.elamur.ai/free/en/papers/roy-2015-solving-general-arithmetic-word-problems/)
12. **[Named Entity Recognition for Chinese Social Media with Jointly Trained Embeddings](https://md.research.elamur.ai/free/en/papers/peng-2015-named-entity-recognition-chinese-social/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Nanyun Peng, Mark Dredze*2015 · 483 citations*
13. **[ASTD: Arabic Sentiment Tweets Dataset](https://md.research.elamur.ai/free/en/papers/nabil-2015-astd-arabic-sentiment-tweets-dataset/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Mahmoud Nabil, Mohamed Aly, Amir Atiya*2015 · 470 citations*
14. **[Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks](https://md.research.elamur.ai/free/en/papers/he-2015-multi-perspective-sentence-similarity-modeling/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hua He, Kevin Gimpel, Jimmy Lin*2015 · 450 citations*
15. **[Improved Transition-based Parsing by Modeling Characters instead of Words with LSTMs](https://md.research.elamur.ai/free/en/papers/ballesteros-2015-improved-transition-based-parsing-modeling/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Miguel Ballesteros, Chris Dyer, Noah A. Smith*2015 · 402 citations*
16. **[That's So Annoying!!!: A Lexical and Frame-Semantic Embedding Based Data Augmentation Approach to Automatic Categorization of Annoying Behaviors using #petpeeve Tweets](https://md.research.elamur.ai/free/en/papers/wang-2015-that-s-so-annoying-lexical/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**William Yang Wang, Diyi Yang*2015 · 395 citations*
17. **[Sentence Compression by Deletion with LSTMs](https://md.research.elamur.ai/free/en/papers/filippova-2015-sentence-compression-deletion-lstms/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Katja Filippova, Enrique Alfonseca, Carlos A. Colmenares, et al.*2015 · 338 citations*
18. **[Long Short-Term Memory Neural Networks for Chinese Word Segmentation](https://md.research.elamur.ai/free/en/papers/chen-2015-long-short-term-memory-neural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xinchi Chen, Xipeng Qiu, Chenxi Zhu, et al.*2015 · 336 citations*
19. [**Question-Answer Driven Semantic Role Labeling: Using Natural Language to Annotate Natural Language**Luheng He, Mike Lewis, Luke Zettlemoyer*2015 · 322 citations*](https://md.research.elamur.ai/free/en/papers/he-2015-question-answer-driven-semantic-role/)
20. **[Do Multi-Sense Embeddings Improve Natural Language Understanding?](https://md.research.elamur.ai/free/en/papers/li-2015-do-multi-sense-embeddings-improve/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiwei Li, Dan Jurafsky*2015 · 303 citations*
21. **[Joint Mention Extraction and Classification with Mention Hypergraphs](https://md.research.elamur.ai/free/en/papers/lu-2015-joint-mention-extraction-classification-mention/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wei Lu, Dan Roth*2015 · 299 citations*
22. **[Show Me Your Evidence - an Automatic Method for Context Dependent Evidence Detection](https://md.research.elamur.ai/free/en/papers/rinott-2015-show-me-your-evidence-automatic/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ruty Rinott, Lena Dankin, Carlos Alzate Perez, et al.*2015 · 296 citations*
23. **[When Are Tree Structures Necessary for Deep Learning of Representations?](https://md.research.elamur.ai/free/en/papers/li-2015-when-are-tree-structures-necessary/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiwei Li, Thang Luong, Dan Jurafsky, et al.*2015 · 266 citations*
24. **[Humor Recognition and Humor Anchor Extraction](https://md.research.elamur.ai/free/en/papers/yang-2015-humor-recognition-humor-anchor-extraction/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Diyi Yang, Alon Lavie, Chris Dyer, et al.*2015 · 264 citations*
25. **[Better Document-level Sentiment Analysis from RST Discourse Parsing](https://md.research.elamur.ai/free/en/papers/bhatia-2015-better-document-level-sentiment-analysis/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein*2015 · 235 citations*
26. **[Broad-coverage CCG Semantic Parsing with AMR](https://md.research.elamur.ai/free/en/papers/artzi-2015-broad-coverage-ccg-semantic-parsing/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yoav Artzi, Kenton Lee, Luke Zettlemoyer*2015 · 228 citations*
27. **[Joint prediction in MST-style discourse parsing for argumentation mining](https://md.research.elamur.ai/free/en/papers/peldszus-2015-joint-prediction-mst-style-discourse/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Andreas Peldszus, Manfred Stede*2015 · 219 citations*
28. **[Solving Geometry Problems: Combining Text and Diagram Interpretation](https://md.research.elamur.ai/free/en/papers/seo-2015-solving-geometry-problems-combining-text/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Minjoon Seo, Hannaneh Hajishirzi, Ali Farhadi, et al.*2015 · 219 citations*
29. **[Better Summarization Evaluation with Word Embeddings for ROUGE](https://md.research.elamur.ai/free/en/papers/ng-2015-better-summarization-evaluation-word-embeddings/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jun-Ping Ng, Viktoria Abrecht*2015 · 217 citations*
30. **[Re-evaluating Automatic Summarization with BLEU and 192 Shades of ROUGE](https://md.research.elamur.ai/free/en/papers/graham-2015-re-evaluating-automatic-summarization-bleu/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yvette Graham*2015 · 209 citations*
31. **[Joint Lemmatization and Morphological Tagging with Lemming](https://md.research.elamur.ai/free/en/papers/muller-2015-joint-lemmatization-morphological-tagging-lemming/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Thomas Müller, Ryan Cotterell, Alexander Fraser, et al.*2015 · 180 citations*
32. **[Shallow Convolutional Neural Network for Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/zhang-2015-shallow-convolutional-neural-network-implicit/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Biao Zhang, Jinsong Su, Deyi Xiong, et al.*2015 · 161 citations*
33. **[Sarcastic or Not: Word Embeddings to Predict the Literal or Sarcastic Meaning of Words](https://md.research.elamur.ai/free/en/papers/ghosh-2015-sarcastic-or-not-word-embeddings/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Debanjan Ghosh, Weiwei Guo, Smaranda Muresan*2015 · 142 citations*
34. **[Posterior calibration and exploratory analysis for natural language processing models](https://md.research.elamur.ai/free/en/papers/nguyen-2015-posterior-calibration-exploratory-analysis-natural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Khanh Nguyen, Brendan O'Connor*2015 · 139 citations*
35. **[Parsing English into Abstract Meaning Representation Using Syntax-Based Machine Translation](https://md.research.elamur.ai/free/en/papers/pust-2015-parsing-english-into-abstract-meaning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Michael Pust, Ulf Hermjakob, Kevin Knight, et al.*2015 · 110 citations*
36. **[Discourse parsing for multi-party chat dialogues](https://md.research.elamur.ai/free/en/papers/afantenos-2015-discourse-parsing-multi-party-chat/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Stergos Afantenos, Eric Kow, Nicholas Asher, et al.*2015 · 97 citations*
37. [**Arabic Diacritization with Recurrent Neural Networks**Yonatan Belinkov, James Glass*2015 · 93 citations*](https://md.research.elamur.ai/free/en/papers/belinkov-2015-arabic-diacritization-recurrent-neural-networks/)
38. **[Comparing Word Representations for Implicit Discourse Relation Classification](https://md.research.elamur.ai/free/en/papers/braud-2015-comparing-word-representations-implicit-discourse/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Chloé Braud, Pascal Denis*2015 · 83 citations*
39. [**Improving Arabic Diacritization through Syntactic Analysis**Anas Shahrour, Salam Khalifa, Nizar Habash*2015 · 58 citations*](https://md.research.elamur.ai/free/en/papers/shahrour-2015-improving-arabic-diacritization-through-syntactic/)
40. **[Joint Event Trigger Identification and Event Coreference Resolution with Structured Perceptron](https://md.research.elamur.ai/free/en/papers/araki-2015-joint-event-trigger-identification-event/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jun Araki, Teruko Mitamura*2015 · 56 citations*
41. **[Closing the Gap: Domain Adaptation from Explicit to Implicit Discourse Relations](https://md.research.elamur.ai/free/en/papers/ji-2015-closing-gap-domain-adaptation-explicit/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yangfeng Ji, Gongbo Zhang, Jacob Eisenstein*2015 · 46 citations*
42. **[Intra-sentential Zero Anaphora Resolution using Subject Sharing Recognition](https://md.research.elamur.ai/free/en/papers/iida-2015-intra-sentential-zero-anaphora-resolution/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ryu Iida, Kentaro Torisawa, Chikara Hashimoto, et al.*2015 · 38 citations*
43. **[Recognizing Textual Entailment Using Probabilistic Inference](https://md.research.elamur.ai/free/en/papers/sha-2015-recognizing-textual-entailment-probabilistic-inference/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Lei Sha, Sujian Li, Baobao Chang, et al.*2015 · 10 citations*
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