Paper Group NANR 115
Graph Transductions and Typological Gaps in Morphological Paradigms. Combining Linguistic Features for the Detection of Croatian Multiword Expressions. Chemical-Induced Disease Detection Using Invariance-based Pattern Learning Model. Deep Learning of Binary and Gradient Judgements for Semantic Paraphrase. Living a discrete life in a continuous worl …
Graph Transductions and Typological Gaps in Morphological Paradigms
| Title | Graph Transductions and Typological Gaps in Morphological Paradigms |
| Authors | Thomas Graf |
| Abstract | |
| Tasks | |
| Published | 2017-07-01 |
| URL | https://www.aclweb.org/anthology/W17-3411/ |
| https://www.aclweb.org/anthology/W17-3411 | |
| PWC | https://paperswithcode.com/paper/graph-transductions-and-typological-gaps-in |
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Combining Linguistic Features for the Detection of Croatian Multiword Expressions
| Title | Combining Linguistic Features for the Detection of Croatian Multiword Expressions |
| Authors | Maja Buljan, Jan {\v{S}}najder |
| Abstract | As multiword expressions (MWEs) exhibit a range of idiosyncrasies, their automatic detection warrants the use of many different features. Tsvetkov and Wintner (2014) proposed a Bayesian network model that combines linguistically motivated features and also models their interactions. In this paper, we extend their model with new features and apply it to Croatian, a morphologically complex and a relatively free word order language, achieving a satisfactory performance of 0.823 F1-score. Furthermore, by comparing against (semi)naive Bayes models, we demonstrate that manually modeling feature interactions is indeed important. We make our annotated dataset of Croatian MWEs freely available. |
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| Published | 2017-04-01 |
| URL | https://www.aclweb.org/anthology/W17-1727/ |
| https://www.aclweb.org/anthology/W17-1727 | |
| PWC | https://paperswithcode.com/paper/combining-linguistic-features-for-the |
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Chemical-Induced Disease Detection Using Invariance-based Pattern Learning Model
| Title | Chemical-Induced Disease Detection Using Invariance-based Pattern Learning Model |
| Authors | Neha Warikoo, Yung-Chun Chang, Wen-Lian Hsu |
| Abstract | In this work, we introduce a novel feature engineering approach named {``}algebraic invariance{''} to identify discriminative patterns for learning relation pair features for the chemical-disease relation (CDR) task of BioCreative V. Our method exploits the existing structural similarity of the key concepts of relation descriptions from the CDR corpus to generate robust linguistic patterns for SVM tree kernel-based learning. Preprocessing of the training data classifies the entity pairs as either related or unrelated to build instance types for both inter-sentential and intra-sentential scenarios. An invariant function is proposed to process and optimally cluster similar patterns for both positive and negative instances. The learning model for CDR pairs is based on the SVM tree kernel approach, which generates feature trees and vectors and is modeled on suitable invariance based patterns, bringing brevity, precision and context to the identifier features. Results demonstrate that our method outperformed other compared approaches, achieved a high recall rate of 85.08{%}, and averaged an F1-score of 54.34{%} without the use of any additional knowledge bases. | |
| Tasks | Feature Engineering, Relation Extraction |
| Published | 2017-11-01 |
| URL | https://www.aclweb.org/anthology/W17-5809/ |
| https://www.aclweb.org/anthology/W17-5809 | |
| PWC | https://paperswithcode.com/paper/chemical-induced-disease-detection-using |
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Deep Learning of Binary and Gradient Judgements for Semantic Paraphrase
| Title | Deep Learning of Binary and Gradient Judgements for Semantic Paraphrase |
| Authors | Yuri Bizzoni, Shalom Lappin |
| Abstract | |
| Tasks | Paraphrase Identification, Semantic Textual Similarity |
| Published | 2017-01-01 |
| URL | https://www.aclweb.org/anthology/W17-6903/ |
| https://www.aclweb.org/anthology/W17-6903 | |
| PWC | https://paperswithcode.com/paper/deep-learning-of-binary-and-gradient |
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Living a discrete life in a continuous world: Reference in cross-modal entity tracking
| Title | Living a discrete life in a continuous world: Reference in cross-modal entity tracking |
| Authors | Gemma Boleda, Sebastian Pad{'o}, Nghia The Pham, Marco Baroni |
| Abstract | |
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| Published | 2017-01-01 |
| URL | https://www.aclweb.org/anthology/W17-6904/ |
| https://www.aclweb.org/anthology/W17-6904 | |
| PWC | https://paperswithcode.com/paper/living-a-discrete-life-in-a-continuous-world |
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A Semantically-Based Computational Approach to Narrative Structure
| Title | A Semantically-Based Computational Approach to Narrative Structure |
| Authors | Rodolfo Delmonte, Giulia Marchesini |
| Abstract | |
| Tasks | Opinion Mining |
| Published | 2017-01-01 |
| URL | https://www.aclweb.org/anthology/W17-6906/ |
| https://www.aclweb.org/anthology/W17-6906 | |
| PWC | https://paperswithcode.com/paper/a-semantically-based-computational-approach |
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Detection of Verbal Multi-Word Expressions via Conditional Random Fields with Syntactic Dependency Features and Semantic Re-Ranking
| Title | Detection of Verbal Multi-Word Expressions via Conditional Random Fields with Syntactic Dependency Features and Semantic Re-Ranking |
| Authors | Alfredo Maldonado, Lifeng Han, Erwan Moreau, Ashjan Alsulaimani, Koel Dutta Chowdhury, Carl Vogel, Qun Liu |
| Abstract | A description of a system for identifying Verbal Multi-Word Expressions (VMWEs) in running text is presented. The system mainly exploits universal syntactic dependency features through a Conditional Random Fields (CRF) sequence model. The system competed in the Closed Track at the PARSEME VMWE Shared Task 2017, ranking 2nd place in most languages on full VMWE-based evaluation and 1st in three languages on token-based evaluation. In addition, this paper presents an option to re-rank the 10 best CRF-predicted sequences via semantic vectors, boosting its scores above other systems in the competition. We also show that all systems in the competition would struggle to beat a simple lookup baseline system and argue for a more purpose-specific evaluation scheme. |
| Tasks | |
| Published | 2017-04-01 |
| URL | https://www.aclweb.org/anthology/W17-1715/ |
| https://www.aclweb.org/anthology/W17-1715 | |
| PWC | https://paperswithcode.com/paper/detection-of-verbal-multi-word-expressions |
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Feedback relevance spaces: The organisation of increments in conversation
| Title | Feedback relevance spaces: The organisation of increments in conversation |
| Authors | Christine Howes, Arash Eshghi |
| Abstract | |
| Tasks | |
| Published | 2017-01-01 |
| URL | https://www.aclweb.org/anthology/W17-6913/ |
| https://www.aclweb.org/anthology/W17-6913 | |
| PWC | https://paperswithcode.com/paper/feedback-relevance-spaces-the-organisation-of |
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Surprisal and Satisfaction: Towards an Information-theoretic Characterization of Presuppositions with a Diachronic Application
| Title | Surprisal and Satisfaction: Towards an Information-theoretic Characterization of Presuppositions with a Diachronic Application |
| Authors | Remus Gergel, Martin Kopf-Giammanco, Julia Masloh |
| Abstract | |
| Tasks | |
| Published | 2017-01-01 |
| URL | https://www.aclweb.org/anthology/W17-6911/ |
| https://www.aclweb.org/anthology/W17-6911 | |
| PWC | https://paperswithcode.com/paper/surprisal-and-satisfaction-towards-an |
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Inverse Filtering for Hidden Markov Models
| Title | Inverse Filtering for Hidden Markov Models |
| Authors | Robert Mattila, Cristian Rojas, Vikram Krishnamurthy, Bo Wahlberg |
| Abstract | This paper considers a number of related inverse filtering problems for hidden Markov models (HMMs). In particular, given a sequence of state posteriors and the system dynamics; i) estimate the corresponding sequence of observations, ii) estimate the observation likelihoods, and iii) jointly estimate the observation likelihoods and the observation sequence. We show how to avoid a computationally expensive mixed integer linear program (MILP) by exploiting the algebraic structure of the HMM filter using simple linear algebra operations, and provide conditions for when the quantities can be uniquely reconstructed. We also propose a solution to the more general case where the posteriors are noisily observed. Finally, the proposed inverse filtering algorithms are evaluated on real-world polysomnographic data used for automatic sleep segmentation. |
| Tasks | |
| Published | 2017-12-01 |
| URL | http://papers.nips.cc/paper/7008-inverse-filtering-for-hidden-markov-models |
| http://papers.nips.cc/paper/7008-inverse-filtering-for-hidden-markov-models.pdf | |
| PWC | https://paperswithcode.com/paper/inverse-filtering-for-hidden-markov-models |
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Understanding the Semantics of Narratives of Interpersonal Violence through Reader Annotations and Physiological Reactions
| Title | Understanding the Semantics of Narratives of Interpersonal Violence through Reader Annotations and Physiological Reactions |
| Authors | Alex Calderwood, er, Elizabeth A. Pruett, Raymond Ptucha, Christopher Homan, Cecilia Ovesdotter Alm |
| Abstract | Interpersonal violence (IPV) is a prominent sociological problem that affects people of all demographic backgrounds. By analyzing how readers interpret, perceive, and react to experiences narrated in social media posts, we explore an understudied source for discourse about abuse. We asked readers to annotate Reddit posts about relationships with vs. without IPV for stakeholder roles and emotion, while measuring their galvanic skin response (GSR), pulse, and facial expression. We map annotations to coreference resolution output to obtain a labeled coreference chain for stakeholders in texts, and apply automated semantic role labeling for analyzing IPV discourse. Findings provide insights into how readers process roles and emotion in narratives. For example, abusers tend to be linked with violent actions and certain affect states. We train classifiers to predict stakeholder categories of coreference chains. We also find that subjects{'} GSR noticeably changed for IPV texts, suggesting that co-collected measurement-based data about annotators can be used to support text annotation. |
| Tasks | Coreference Resolution, Semantic Role Labeling |
| Published | 2017-04-01 |
| URL | https://www.aclweb.org/anthology/W17-1801/ |
| https://www.aclweb.org/anthology/W17-1801 | |
| PWC | https://paperswithcode.com/paper/understanding-the-semantics-of-narratives-of |
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Meaning Banking beyond Events and Roles
| Title | Meaning Banking beyond Events and Roles |
| Authors | Johan Bos |
| Abstract | In this talk I will discuss the analysis of several semantic phenomena that need meaning representations that can describe attributes of propositional contexts. I will do this in a version of Discourse Representation Theory, using a universal semantic tagset developed as part of a project that aims to produce a large meaning bank (a semantically-annotated corpus) for four languages (English, Dutch, German and Italian). |
| Tasks | |
| Published | 2017-04-01 |
| URL | https://www.aclweb.org/anthology/W17-1805/ |
| https://www.aclweb.org/anthology/W17-1805 | |
| PWC | https://paperswithcode.com/paper/meaning-banking-beyond-events-and-roles |
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Understanding Constraints on Non-Projectivity Using Novel Measures
| Title | Understanding Constraints on Non-Projectivity Using Novel Measures |
| Authors | Himanshu Yadav, Ashwini Vaidya, Samar Husain |
| Abstract | |
| Tasks | |
| Published | 2017-09-01 |
| URL | https://www.aclweb.org/anthology/W17-6531/ |
| https://www.aclweb.org/anthology/W17-6531 | |
| PWC | https://paperswithcode.com/paper/understanding-constraints-on-non-projectivity |
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Neural Networks for Negation Cue Detection in Chinese
| Title | Neural Networks for Negation Cue Detection in Chinese |
| Authors | Hangfeng He, Federico Fancellu, Bonnie Webber |
| Abstract | Negation cue detection involves identifying the span inherently expressing negation in a negative sentence. In Chinese, negative cue detection is complicated by morphological proprieties of the language. Previous work has shown that negative cue detection in Chinese can benefit from specific lexical and morphemic features, as well as cross-lingual information. We show here that they are not necessary: A bi-directional LSTM can perform equally well, with minimal feature engineering. In particular, the use of a character-based model allows us to capture characteristics of negation cues in Chinese using word-embedding information only. Not only does our model performs on par with previous work, further error analysis clarifies what problems remain to be addressed. |
| Tasks | Feature Engineering, Word Alignment |
| Published | 2017-04-01 |
| URL | https://www.aclweb.org/anthology/W17-1809/ |
| https://www.aclweb.org/anthology/W17-1809 | |
| PWC | https://paperswithcode.com/paper/neural-networks-for-negation-cue-detection-in |
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Analyzing Well-Formedness of Syllables in Japanese Sign Language
| Title | Analyzing Well-Formedness of Syllables in Japanese Sign Language |
| Authors | Satoshi Yawata, Makoto Miwa, Yutaka Sasaki, Daisuke Hara |
| Abstract | This paper tackles a problem of analyzing the well-formedness of syllables in Japanese Sign Language (JSL). We formulate the problem as a classification problem that classifies syllables into well-formed or ill-formed. We build a data set that contains hand-coded syllables and their well-formedness. We define a fine-grained feature set based on the hand-coded syllables and train a logistic regression classifier on labeled syllables, expecting to find the discriminative features from the trained classifier. We also perform pseudo active learning to investigate the applicability of active learning in analyzing syllables. In the experiments, the best classifier with our combinatorial features achieved the accuracy of 87.0{%}. The pseudo active learning is also shown to be effective showing that it could reduce about 84{%} of training instances to achieve the accuracy of 82.0{%} when compared to the model without active learning. |
| Tasks | Active Learning |
| Published | 2017-11-01 |
| URL | https://www.aclweb.org/anthology/I17-2005/ |
| https://www.aclweb.org/anthology/I17-2005 | |
| PWC | https://paperswithcode.com/paper/analyzing-well-formedness-of-syllables-in |
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