Paper Group NANR 79
A Corpus of Annotated Revisions for Studying Argumentative Writing. Multi-word annotation in syntactic treebanks - Propositions for Universal Dependencies. Proceedings of the International Workshop on Digital Disease Detection using Social Media 2017 (DDDSM-2017). A Hybrid CNN-RNN Alignment Model for Phrase-Aware Sentence Classification. Multi-Doma …
A Corpus of Annotated Revisions for Studying Argumentative Writing
| Title | A Corpus of Annotated Revisions for Studying Argumentative Writing |
| Authors | Fan Zhang, Homa B. Hashemi, Rebecca Hwa, Diane Litman |
| Abstract | This paper presents ArgRewrite, a corpus of between-draft revisions of argumentative essays. Drafts are manually aligned at the sentence level, and the writer{'}s purpose for each revision is annotated with categories analogous to those used in argument mining and discourse analysis. The corpus should enable advanced research in writing comparison and revision analysis, as demonstrated via our own studies of student revision behavior and of automatic revision purpose prediction. |
| Tasks | Argument Mining |
| Published | 2017-07-01 |
| URL | https://www.aclweb.org/anthology/P17-1144/ |
| https://www.aclweb.org/anthology/P17-1144 | |
| PWC | https://paperswithcode.com/paper/a-corpus-of-annotated-revisions-for-studying |
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Multi-word annotation in syntactic treebanks - Propositions for Universal Dependencies
| Title | Multi-word annotation in syntactic treebanks - Propositions for Universal Dependencies |
| Authors | Sylvain Kahane, Marine Courtin, Kim Gerdes |
| Abstract | |
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| Published | 2017-01-01 |
| URL | https://www.aclweb.org/anthology/W17-7622/ |
| https://www.aclweb.org/anthology/W17-7622 | |
| PWC | https://paperswithcode.com/paper/multi-word-annotation-in-syntactic-treebanks |
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Proceedings of the International Workshop on Digital Disease Detection using Social Media 2017 (DDDSM-2017)
| Title | Proceedings of the International Workshop on Digital Disease Detection using Social Media 2017 (DDDSM-2017) |
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| Abstract | |
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| Published | 2017-11-01 |
| URL | https://www.aclweb.org/anthology/W17-5800/ |
| https://www.aclweb.org/anthology/W17-5800 | |
| PWC | https://paperswithcode.com/paper/proceedings-of-the-international-workshop-on |
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A Hybrid CNN-RNN Alignment Model for Phrase-Aware Sentence Classification
| Title | A Hybrid CNN-RNN Alignment Model for Phrase-Aware Sentence Classification |
| Authors | Shiou Tian Hsu, Changsung Moon, Paul Jones, Nagiza Samatova |
| Abstract | The success of sentence classification often depends on understanding both the syntactic and semantic properties of word-phrases. Recent progress on this task has been based on exploiting the grammatical structure of sentences but often this structure is difficult to parse and noisy. In this paper, we propose a structure-independent {`}Gated Representation Alignment{'} (GRA) model that blends a phrase-focused Convolutional Neural Network (CNN) approach with sequence-oriented Recurrent Neural Network (RNN). Our novel alignment mechanism allows the RNN to selectively include phrase information in a word-by-word sentence representation, and to do this without awareness of the syntactic structure. An empirical evaluation of GRA shows higher prediction accuracy (up to 4.6{%}) of fine-grained sentiment ratings, when compared to other structure-independent baselines. We also show comparable results to several structure-dependent methods. Finally, we analyzed the effect of our alignment mechanism and found that this is critical to the effectiveness of the CNN-RNN hybrid. | |
| Tasks | Sentence Classification, Sentence Embeddings |
| Published | 2017-04-01 |
| URL | https://www.aclweb.org/anthology/E17-2071/ |
| https://www.aclweb.org/anthology/E17-2071 | |
| PWC | https://paperswithcode.com/paper/a-hybrid-cnn-rnn-alignment-model-for-phrase |
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Multi-Domain Neural Machine Translation through Unsupervised Adaptation
| Title | Multi-Domain Neural Machine Translation through Unsupervised Adaptation |
| Authors | M. Amin Farajian, Marco Turchi, Matteo Negri, Marcello Federico |
| Abstract | |
| Tasks | Machine Translation |
| Published | 2017-09-01 |
| URL | https://www.aclweb.org/anthology/W17-4713/ |
| https://www.aclweb.org/anthology/W17-4713 | |
| PWC | https://paperswithcode.com/paper/multi-domain-neural-machine-translation |
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Computational Support for Finding Word Classes: A Case Study of Abui
| Title | Computational Support for Finding Word Classes: A Case Study of Abui |
| Authors | Olga Zamaraeva, Franti{\v{s}}ek Kratochv{'\i}l, Emily M. Bender, Fei Xia, Kristen Howell |
| Abstract | |
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| Published | 2017-03-01 |
| URL | https://www.aclweb.org/anthology/W17-0118/ |
| https://www.aclweb.org/anthology/W17-0118 | |
| PWC | https://paperswithcode.com/paper/computational-support-for-finding-word |
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Proceedings of the Fourth Workshop on Computational Linguistics and Clinical Psychology — From Linguistic Signal to Clinical Reality
| Title | Proceedings of the Fourth Workshop on Computational Linguistics and Clinical Psychology — From Linguistic Signal to Clinical Reality |
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| Abstract | |
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| Published | 2017-08-01 |
| URL | https://www.aclweb.org/anthology/W17-3100/ |
| https://www.aclweb.org/anthology/W17-3100 | |
| PWC | https://paperswithcode.com/paper/proceedings-of-the-fourth-workshop-on |
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Discovering Conversation Spaces in the Public Discourse of Gender Violence: a Comparative Between Two Different Contexts
| Title | Discovering Conversation Spaces in the Public Discourse of Gender Violence: a Comparative Between Two Different Contexts |
| Authors | Meliza De La Paz, Maria Regina Estuar, John Noel Victorino |
| Abstract | |
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| Published | 2017-11-01 |
| URL | https://www.aclweb.org/anthology/Y17-1050/ |
| https://www.aclweb.org/anthology/Y17-1050 | |
| PWC | https://paperswithcode.com/paper/discovering-conversation-spaces-in-the-public |
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MalwareTextDB: A Database for Annotated Malware Articles
| Title | MalwareTextDB: A Database for Annotated Malware Articles |
| Authors | Swee Kiat Lim, Aldrian Obaja Muis, Wei Lu, Chen Hui Ong |
| Abstract | Cybersecurity risks and malware threats are becoming increasingly dangerous and common. Despite the severity of the problem, there has been few NLP efforts focused on tackling cybersecurity. In this paper, we discuss the construction of a new database for annotated malware texts. An annotation framework is introduced based on the MAEC vocabulary for defining malware characteristics, along with a database consisting of 39 annotated APT reports with a total of 6,819 sentences. We also use the database to construct models that can potentially help cybersecurity researchers in their data collection and analytics efforts. |
| Tasks | |
| Published | 2017-07-01 |
| URL | https://www.aclweb.org/anthology/P17-1143/ |
| https://www.aclweb.org/anthology/P17-1143 | |
| PWC | https://paperswithcode.com/paper/malwaretextdb-a-database-for-annotated |
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Attention Strategies for Multi-Source Sequence-to-Sequence Learning
| Title | Attention Strategies for Multi-Source Sequence-to-Sequence Learning |
| Authors | Jind{\v{r}}ich Libovick{'y}, Jind{\v{r}}ich Helcl |
| Abstract | Modeling attention in neural multi-source sequence-to-sequence learning remains a relatively unexplored area, despite its usefulness in tasks that incorporate multiple source languages or modalities. We propose two novel approaches to combine the outputs of attention mechanisms over each source sequence, flat and hierarchical. We compare the proposed methods with existing techniques and present results of systematic evaluation of those methods on the WMT16 Multimodal Translation and Automatic Post-editing tasks. We show that the proposed methods achieve competitive results on both tasks. |
| Tasks | Automatic Post-Editing, Image Captioning, Machine Translation, Text Summarization |
| Published | 2017-07-01 |
| URL | https://www.aclweb.org/anthology/P17-2031/ |
| https://www.aclweb.org/anthology/P17-2031 | |
| PWC | https://paperswithcode.com/paper/attention-strategies-for-multi-source-1 |
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Automatic Generation of Jokes in Hindi
| Title | Automatic Generation of Jokes in Hindi |
| Authors | Srishti Aggarwal, Radhika Mamidi |
| Abstract | |
| Tasks | Text Generation |
| Published | 2017-07-01 |
| URL | https://www.aclweb.org/anthology/P17-3012/ |
| https://www.aclweb.org/anthology/P17-3012 | |
| PWC | https://paperswithcode.com/paper/automatic-generation-of-jokes-in-hindi |
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Mainstreaming August Strindberg with Text Normalization
| Title | Mainstreaming August Strindberg with Text Normalization |
| Authors | Adam Ek, Sofia Knuutinen |
| Abstract | |
| Tasks | Machine Translation, Part-Of-Speech Tagging |
| Published | 2017-05-01 |
| URL | https://www.aclweb.org/anthology/W17-0236/ |
| https://www.aclweb.org/anthology/W17-0236 | |
| PWC | https://paperswithcode.com/paper/mainstreaming-august-strindberg-with-text |
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FBK’s Participation to the English-to-German News Translation Task of WMT 2017
| Title | FBK’s Participation to the English-to-German News Translation Task of WMT 2017 |
| Authors | Mattia Antonino Di Gangi, Nicola Bertoldi, Marcello Federico |
| Abstract | |
| Tasks | Machine Translation |
| Published | 2017-09-01 |
| URL | https://www.aclweb.org/anthology/W17-4723/ |
| https://www.aclweb.org/anthology/W17-4723 | |
| PWC | https://paperswithcode.com/paper/fbkas-participation-to-the-english-to-german |
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Deal or No Deal? End-to-End Learning of Negotiation Dialogues
| Title | Deal or No Deal? End-to-End Learning of Negotiation Dialogues |
| Authors | Mike Lewis, Denis Yarats, Yann Dauphin, Devi Parikh, Dhruv Batra |
| Abstract | Much of human dialogue occurs in semi-cooperative settings, where agents with different goals attempt to agree on common decisions. Negotiations require complex communication and reasoning skills, but success is easy to measure, making this an interesting task for AI. We gather a large dataset of human-human negotiations on a multi-issue bargaining task, where agents who cannot observe each other{'}s reward functions must reach an agreement (or a deal) via natural language dialogue. For the first time, we show it is possible to train end-to-end models for negotiation, which must learn both linguistic and reasoning skills with no annotated dialogue states. We also introduce dialogue rollouts, in which the model plans ahead by simulating possible complete continuations of the conversation, and find that this technique dramatically improves performance. Our code and dataset are publicly available. |
| Tasks | |
| Published | 2017-09-01 |
| URL | https://www.aclweb.org/anthology/D17-1259/ |
| https://www.aclweb.org/anthology/D17-1259 | |
| PWC | https://paperswithcode.com/paper/deal-or-no-deal-end-to-end-learning-of |
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CLCL (Geneva) DINN Parser: a Neural Network Dependency Parser Ten Years Later
| Title | CLCL (Geneva) DINN Parser: a Neural Network Dependency Parser Ten Years Later |
| Authors | Christophe Moor, Paola Merlo, James Henderson, Haozhou Wang |
| Abstract | This paper describes the University of Geneva{'}s submission to the CoNLL 2017 shared task Multilingual Parsing from Raw Text to Universal Dependencies (listed as the CLCL (Geneva) entry). Our submitted parsing system is the grandchild of the first transition-based neural network dependency parser, which was the University of Geneva{'}s entry in the CoNLL 2007 multilingual dependency parsing shared task, with some improvements to speed and portability. These results provide a baseline for investigating how far we have come in the past ten years of work on neural network dependency parsing. |
| Tasks | Dependency Parsing, Feature Engineering, Word Embeddings |
| Published | 2017-08-01 |
| URL | https://www.aclweb.org/anthology/K17-3024/ |
| https://www.aclweb.org/anthology/K17-3024 | |
| PWC | https://paperswithcode.com/paper/clcl-geneva-dinn-parser-a-neural-network |
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