Paper Group NANR 37
Syntactic Analysis of Phrasal Compounds in Corpora: a Challenge for NLP Tools. Moses-based official baseline for NEWS 2016. Predicting the Direction of Derivation in English Conversion. Towards a Formal Representation of Components of German Compounds. Expert Stance Graphs for Computational Argumentation. Towards Feasible Guidelines for the Annotat …
Syntactic Analysis of Phrasal Compounds in Corpora: a Challenge for NLP Tools
| Title | Syntactic Analysis of Phrasal Compounds in Corpora: a Challenge for NLP Tools |
| Authors | Carola Trips |
| Abstract | The paper introduces a {}train once, use many{''} approach for the syntactic analysis of phrasal compounds (PC) of the type XP+N like {}Would you like to sit on my knee?{''} nonsense. PCs are a challenge for NLP tools since they require the identification of a syntactic phrase within a morphological complex. We propose a method which uses a state-of-the-art dependency parser not only to analyse sentences (the environment of PCs) but also to compound the non-head of PCs in a well-defined particular condition which is the analysis of the non-head spanning from the left boundary (mostly marked by a determiner) to the nominal head of the PC. This method contains the following steps: (a) the use an English state-of-the-art dependency parser with data comprising sentences with PCs from the British National Corpus (BNC), (b) the detection of parsing errors of PCs, (c) the separate treatment of the non-head structure using the same model, and (d) the attachment of the non-head to the compound head. The evaluation of the method showed that the accuracy of 76{%} could be improved by adding a step in the PC compounder module which specified user-defined contexts being sensitive to the part of speech of the non-head parts and by using TreeTagger, in line with our approach. |
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| Published | 2016-05-01 |
| URL | https://www.aclweb.org/anthology/L16-1174/ |
| https://www.aclweb.org/anthology/L16-1174 | |
| PWC | https://paperswithcode.com/paper/syntactic-analysis-of-phrasal-compounds-in |
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Moses-based official baseline for NEWS 2016
| Title | Moses-based official baseline for NEWS 2016 |
| Authors | Marta R. Costa-juss{`a} |
| Abstract | |
| Tasks | Information Retrieval, Language Modelling, Machine Translation, Transliteration |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/W16-2713/ |
| https://www.aclweb.org/anthology/W16-2713 | |
| PWC | https://paperswithcode.com/paper/moses-based-official-baseline-for-news-2016 |
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Predicting the Direction of Derivation in English Conversion
| Title | Predicting the Direction of Derivation in English Conversion |
| Authors | Max Kisselew, Laura Rimell, Alexis Palmer, Sebastian Pad{'o} |
| Abstract | |
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| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/W16-2015/ |
| https://www.aclweb.org/anthology/W16-2015 | |
| PWC | https://paperswithcode.com/paper/predicting-the-direction-of-derivation-in |
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Towards a Formal Representation of Components of German Compounds
| Title | Towards a Formal Representation of Components of German Compounds |
| Authors | Thierry Declerck, Piroska Lendvai |
| Abstract | |
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| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/W16-2017/ |
| https://www.aclweb.org/anthology/W16-2017 | |
| PWC | https://paperswithcode.com/paper/towards-a-formal-representation-of-components |
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Expert Stance Graphs for Computational Argumentation
| Title | Expert Stance Graphs for Computational Argumentation |
| Authors | Orith Toledo-Ronen, Roy Bar-Haim, Noam Slonim |
| Abstract | |
| Tasks | Argument Mining |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/W16-2814/ |
| https://www.aclweb.org/anthology/W16-2814 | |
| PWC | https://paperswithcode.com/paper/expert-stance-graphs-for-computational |
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Towards Feasible Guidelines for the Annotation of Argument Schemes
| Title | Towards Feasible Guidelines for the Annotation of Argument Schemes |
| Authors | Elena Musi, Debanjan Ghosh, Smar Muresan, a |
| Abstract | |
| Tasks | Argument Mining |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/W16-2810/ |
| https://www.aclweb.org/anthology/W16-2810 | |
| PWC | https://paperswithcode.com/paper/towards-feasible-guidelines-for-the |
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Generating a Large-Scale Entity Linking Dictionary from Wikipedia Link Structure and Article Text
| Title | Generating a Large-Scale Entity Linking Dictionary from Wikipedia Link Structure and Article Text |
| Authors | Ravindra Harige, Paul Buitelaar |
| Abstract | Wikipedia has been increasingly used as a knowledge base for open-domain Named Entity Linking and Disambiguation. In this task, a dictionary with entity surface forms plays an important role in finding a set of candidate entities for the mentions in text. Existing dictionaries mostly rely on the Wikipedia link structure, like anchor texts, redirect links and disambiguation links. In this paper, we introduce a dictionary for Entity Linking that includes name variations extracted from Wikipedia article text, in addition to name variations derived from the Wikipedia link structure. With this approach, we show an increase in the coverage of entities and their mentions in the dictionary in comparison to other Wikipedia based dictionaries. |
| Tasks | Entity Linking |
| Published | 2016-05-01 |
| URL | https://www.aclweb.org/anthology/L16-1385/ |
| https://www.aclweb.org/anthology/L16-1385 | |
| PWC | https://paperswithcode.com/paper/generating-a-large-scale-entity-linking |
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chrF deconstructed: beta parameters and n-gram weights
| Title | chrF deconstructed: beta parameters and n-gram weights |
| Authors | Maja Popovi{'c} |
| Abstract | |
| Tasks | Machine Translation |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/W16-2341/ |
| https://www.aclweb.org/anthology/W16-2341 | |
| PWC | https://paperswithcode.com/paper/chrf-deconstructed-beta-parameters-and-n-gram |
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PubTermVariants: biomedical term variants and their use for PubMed search
| Title | PubTermVariants: biomedical term variants and their use for PubMed search |
| Authors | Lana Yeganova, Won Kim, Sun Kim, Rezarta Islamaj Do{\u{g}}an, Wanli Liu, Donald C Comeau, Zhiyong Lu, W John Wilbur |
| Abstract | |
| Tasks | Information Retrieval |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/W16-2919/ |
| https://www.aclweb.org/anthology/W16-2919 | |
| PWC | https://paperswithcode.com/paper/pubtermvariants-biomedical-term-variants-and |
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Datasets for Aspect-Based Sentiment Analysis in French
| Title | Datasets for Aspect-Based Sentiment Analysis in French |
| Authors | Marianna Apidianaki, Xavier Tannier, C{'e}cile Richart |
| Abstract | Aspect Based Sentiment Analysis (ABSA) is the task of mining and summarizing opinions from text about specific entities and their aspects. This article describes two datasets for the development and testing of ABSA systems for French which comprise user reviews annotated with relevant entities, aspects and polarity values. The first dataset contains 457 restaurant reviews (2365 sentences) for training and testing ABSA systems, while the second contains 162 museum reviews (655 sentences) dedicated to out-of-domain evaluation. Both datasets were built as part of SemEval-2016 Task 5 {``}Aspect-Based Sentiment Analysis{''} where seven different languages were represented, and are publicly available for research purposes. | |
| Tasks | Aspect-Based Sentiment Analysis, Sentiment Analysis |
| Published | 2016-05-01 |
| URL | https://www.aclweb.org/anthology/L16-1179/ |
| https://www.aclweb.org/anthology/L16-1179 | |
| PWC | https://paperswithcode.com/paper/datasets-for-aspect-based-sentiment-analysis |
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Parasitic Gaps and the Heterogeneity of Dependency Formation in STAG
| Title | Parasitic Gaps and the Heterogeneity of Dependency Formation in STAG |
| Authors | Dennis Ryan Storoshenko, Robert Frank |
| Abstract | |
| Tasks | |
| Published | 2016-06-01 |
| URL | https://www.aclweb.org/anthology/W16-3312/ |
| https://www.aclweb.org/anthology/W16-3312 | |
| PWC | https://paperswithcode.com/paper/parasitic-gaps-and-the-heterogeneity-of |
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Dimensional Sentiment Analysis Using a Regional CNN-LSTM Model
| Title | Dimensional Sentiment Analysis Using a Regional CNN-LSTM Model |
| Authors | Jin Wang, Liang-Chih Yu, K. Robert Lai, Xuejie Zhang |
| Abstract | |
| Tasks | Sentiment Analysis |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/P16-2037/ |
| https://www.aclweb.org/anthology/P16-2037 | |
| PWC | https://paperswithcode.com/paper/dimensional-sentiment-analysis-using-a |
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A Dataset and Evaluation Metrics for Abstractive Compression of Sentences and Short Paragraphs
| Title | A Dataset and Evaluation Metrics for Abstractive Compression of Sentences and Short Paragraphs |
| Authors | Kristina Toutanova, Chris Brockett, Ke M. Tran, Saleema Amershi |
| Abstract | |
| Tasks | Document Summarization, Sentence Compression |
| Published | 2016-11-01 |
| URL | https://www.aclweb.org/anthology/D16-1033/ |
| https://www.aclweb.org/anthology/D16-1033 | |
| PWC | https://paperswithcode.com/paper/a-dataset-and-evaluation-metrics-for |
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Challenges of Evaluating Sentiment Analysis Tools on Social Media
| Title | Challenges of Evaluating Sentiment Analysis Tools on Social Media |
| Authors | Diana Maynard, Kalina Bontcheva |
| Abstract | This paper discusses the challenges in carrying out fair comparative evaluations of sentiment analysis systems. Firstly, these are due to differences in corpus annotation guidelines and sentiment class distribution. Secondly, different systems often make different assumptions about how to interpret certain statements, e.g. tweets with URLs. In order to study the impact of these on evaluation results, this paper focuses on tweet sentiment analysis in particular. One existing and two newly created corpora are used, and the performance of four different sentiment analysis systems is reported; we make our annotated datasets and sentiment analysis applications publicly available. We see considerable variations in results across the different corpora, which calls into question the validity of many existing annotated datasets and evaluations, and we make some observations about both the systems and the datasets as a result. |
| Tasks | Sentiment Analysis |
| Published | 2016-05-01 |
| URL | https://www.aclweb.org/anthology/L16-1182/ |
| https://www.aclweb.org/anthology/L16-1182 | |
| PWC | https://paperswithcode.com/paper/challenges-of-evaluating-sentiment-analysis |
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Construction of an English Dependency Corpus incorporating Compound Function Words
| Title | Construction of an English Dependency Corpus incorporating Compound Function Words |
| Authors | Akihiko Kato, Hiroyuki Shindo, Yuji Matsumoto |
| Abstract | The recognition of multiword expressions (MWEs) in a sentence is important for such linguistic analyses as syntactic and semantic parsing, because it is known that combining an MWE into a single token improves accuracy for various NLP tasks, such as dependency parsing and constituency parsing. However, MWEs are not annotated in Penn Treebank. Furthermore, when converting word-based dependency to MWE-aware dependency directly, one could combine nodes in an MWE into a single node. Nevertheless, this method often leads to the following problem: A node derived from an MWE could have multiple heads and the whole dependency structure including MWE might be cyclic. Therefore we converted a phrase structure to a dependency structure after establishing an MWE as a single subtree. This approach can avoid an occurrence of multiple heads and/or cycles. In this way, we constructed an English dependency corpus taking into account compound function words, which are one type of MWEs that serve as functional expressions. In addition, we report experimental results of dependency parsing using a constructed corpus. |
| Tasks | Constituency Parsing, Dependency Parsing, Semantic Parsing |
| Published | 2016-05-01 |
| URL | https://www.aclweb.org/anthology/L16-1263/ |
| https://www.aclweb.org/anthology/L16-1263 | |
| PWC | https://paperswithcode.com/paper/construction-of-an-english-dependency-corpus |
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