May 4, 2019

1125 words 6 mins read

Paper Group NANR 190

Paper Group NANR 190

Leveraging Data-Driven Methods in Word-Level Language Identification for a Multilingual Alpine Heritage Corpus. Enriching Wikidata with Frame Semantics. But What Do We Actually Know?. Detecting Visually Relevant Sentences for Fine-Grained Classification. Automatic identification of Mild Cognitive Impairment through the analysis of Italian spontaneo …

Leveraging Data-Driven Methods in Word-Level Language Identification for a Multilingual Alpine Heritage Corpus

Title Leveraging Data-Driven Methods in Word-Level Language Identification for a Multilingual Alpine Heritage Corpus
Authors Ada Wan
Abstract
Tasks Language Identification, Lemmatization
Published 2016-06-01
URL https://www.aclweb.org/anthology/W16-1206/
PDF https://www.aclweb.org/anthology/W16-1206
PWC https://paperswithcode.com/paper/leveraging-data-driven-methods-in-word-level
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Framework

Enriching Wikidata with Frame Semantics

Title Enriching Wikidata with Frame Semantics
Authors Hatem Mousselly-Sergieh, Iryna Gurevych
Abstract
Tasks Semantic Role Labeling
Published 2016-06-01
URL https://www.aclweb.org/anthology/W16-1306/
PDF https://www.aclweb.org/anthology/W16-1306
PWC https://paperswithcode.com/paper/enriching-wikidata-with-frame-semantics
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But What Do We Actually Know?

Title But What Do We Actually Know?
Authors Simon Razniewski, Fabian Suchanek, Werner Nutt
Abstract
Tasks Information Retrieval, Question Answering
Published 2016-06-01
URL https://www.aclweb.org/anthology/W16-1308/
PDF https://www.aclweb.org/anthology/W16-1308
PWC https://paperswithcode.com/paper/but-what-do-we-actually-know
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Framework

Detecting Visually Relevant Sentences for Fine-Grained Classification

Title Detecting Visually Relevant Sentences for Fine-Grained Classification
Authors Olivia Winn, Madhavan Kavanur Kidambi, Smar Muresan, a
Abstract
Tasks Fine-Grained Image Classification, Image Classification, Zero-Shot Learning
Published 2016-08-01
URL https://www.aclweb.org/anthology/W16-3213/
PDF https://www.aclweb.org/anthology/W16-3213
PWC https://paperswithcode.com/paper/detecting-visually-relevant-sentences-for
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Automatic identification of Mild Cognitive Impairment through the analysis of Italian spontaneous speech productions

Title Automatic identification of Mild Cognitive Impairment through the analysis of Italian spontaneous speech productions
Authors Daniela Beltrami, Laura Calz{`a}, Gloria Gagliardi, Enrico Ghidoni, Norina Marcello, Rema Rossini Favretti, Fabio Tamburini
Abstract This paper presents some preliminary results of the OPLON project. It aimed at identifying early linguistic symptoms of cognitive decline in the elderly. This pilot study was conducted on a corpus composed of spontaneous speech sample collected from 39 subjects, who underwent a neuropsychological screening for visuo-spatial abilities, memory, language, executive functions and attention. A rich set of linguistic features was extracted from the digitalised utterances (at phonetic, suprasegmental, lexical, morphological and syntactic levels) and the statistical significance in pinpointing the pathological process was measured. Our results show remarkable trends for what concerns both the linguistic traits selection and the automatic classifiers building.
Tasks
Published 2016-05-01
URL https://www.aclweb.org/anthology/L16-1331/
PDF https://www.aclweb.org/anthology/L16-1331
PWC https://paperswithcode.com/paper/automatic-identification-of-mild-cognitive
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Framework

A Proposition Bank of Urdu

Title A Proposition Bank of Urdu
Authors Maaz Anwar, Riyaz Ahmad Bhat, Dipti Sharma, Ashwini Vaidya, Martha Palmer, Tafseer Ahmed Khan
Abstract This paper describes our efforts for the development of a Proposition Bank for Urdu, an Indo-Aryan language. Our primary goal is the labeling of syntactic nodes in the existing Urdu dependency Treebank with specific argument labels. In essence, it involves annotation of predicate argument structures of both simple and complex predicates in the Treebank corpus. We describe the overall process of building the PropBank of Urdu. We discuss various statistics pertaining to the Urdu PropBank and the issues which the annotators encountered while developing the PropBank. We also discuss how these challenges were addressed to successfully expand the PropBank corpus. While reporting the Inter-annotator agreement between the two annotators, we show that the annotators share similar understanding of the annotation guidelines and of the linguistic phenomena present in the language. The present size of this Propbank is around 180,000 tokens which is double-propbanked by the two annotators for simple predicates. Another 100,000 tokens have been annotated for complex predicates of Urdu.
Tasks
Published 2016-05-01
URL https://www.aclweb.org/anthology/L16-1377/
PDF https://www.aclweb.org/anthology/L16-1377
PWC https://paperswithcode.com/paper/a-proposition-bank-of-urdu
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Framework

Human-in-the-Loop Parsing

Title Human-in-the-Loop Parsing
Authors Luheng He, Julian Michael, Mike Lewis, Luke Zettlemoyer
Abstract
Tasks Named Entity Recognition, Prepositional Phrase Attachment
Published 2016-11-01
URL https://www.aclweb.org/anthology/D16-1258/
PDF https://www.aclweb.org/anthology/D16-1258
PWC https://paperswithcode.com/paper/human-in-the-loop-parsing
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Framework

GRaSP: A Multilayered Annotation Scheme for Perspectives

Title GRaSP: A Multilayered Annotation Scheme for Perspectives
Authors Chantal van Son, Tommaso Caselli, Antske Fokkens, Isa Maks, Roser Morante, Lora Aroyo, Piek Vossen
Abstract This paper presents a framework and methodology for the annotation of perspectives in text. In the last decade, different aspects of linguistic encoding of perspectives have been targeted as separated phenomena through different annotation initiatives. We propose an annotation scheme that integrates these different phenomena. We use a multilayered annotation approach, splitting the annotation of different aspects of perspectives into small subsequent subtasks in order to reduce the complexity of the task and to better monitor interactions between layers. Currently, we have included four layers of perspective annotation: events, attribution, factuality and opinion. The annotations are integrated in a formal model called GRaSP, which provides the means to represent instances (e.g. events, entities) and propositions in the (real or assumed) world in relation to their mentions in text. Then, the relation between the source and target of a perspective is characterized by means of perspective annotations. This enables us to place alternative perspectives on the same entity, event or proposition next to each other.
Tasks
Published 2016-05-01
URL https://www.aclweb.org/anthology/L16-1187/
PDF https://www.aclweb.org/anthology/L16-1187
PWC https://paperswithcode.com/paper/grasp-a-multilayered-annotation-scheme-for
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Framework

Bilingual Word Embeddings from Parallel and Non-parallel Corpora for Cross-Language Text Classification

Title Bilingual Word Embeddings from Parallel and Non-parallel Corpora for Cross-Language Text Classification
Authors Aditya Mogadala, Achim Rettinger
Abstract
Tasks Dependency Parsing, Information Retrieval, Machine Translation, Multilingual Word Embeddings, Part-Of-Speech Tagging, Semantic Textual Similarity, Text Classification, Word Embeddings
Published 2016-06-01
URL https://www.aclweb.org/anthology/N16-1083/
PDF https://www.aclweb.org/anthology/N16-1083
PWC https://paperswithcode.com/paper/bilingual-word-embeddings-from-parallel-and
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Framework

Design of Word Association Games using Dialog Systems for Acquisition of Word Association Knowledge

Title Design of Word Association Games using Dialog Systems for Acquisition of Word Association Knowledge
Authors Yuichiro Machida, Daisuke Kawahara, Sadao Kurohashi, Manabu Sassano
Abstract
Tasks
Published 2016-06-01
URL https://www.aclweb.org/anthology/W16-1316/
PDF https://www.aclweb.org/anthology/W16-1316
PWC https://paperswithcode.com/paper/design-of-word-association-games-using-dialog
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Framework

Applying Universal Schemas for Domain Specific Ontology Expansion

Title Applying Universal Schemas for Domain Specific Ontology Expansion
Authors Paul Groth, Sujit Pal, Darin McBeath, Brad Allen, Ron Daniel
Abstract
Tasks Link Prediction, Question Answering
Published 2016-06-01
URL https://www.aclweb.org/anthology/W16-1315/
PDF https://www.aclweb.org/anthology/W16-1315
PWC https://paperswithcode.com/paper/applying-universal-schemas-for-domain
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Framework

How do Practitioners, PhD Students and Postdocs in the Social Sciences Assess Topic-specific Recommendations?

Title How do Practitioners, PhD Students and Postdocs in the Social Sciences Assess Topic-specific Recommendations?
Authors Philipp Mayr
Abstract
Tasks Information Retrieval
Published 2016-06-01
URL https://www.aclweb.org/anthology/W16-1510/
PDF https://www.aclweb.org/anthology/W16-1510
PWC https://paperswithcode.com/paper/how-do-practitioners-phd-students-and
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Bibliometrics, Information Retrieval and Natural Language Processing: Natural Synergies to Support Digital Library Research

Title Bibliometrics, Information Retrieval and Natural Language Processing: Natural Synergies to Support Digital Library Research
Authors Dietmar Wolfram
Abstract
Tasks Information Retrieval
Published 2016-06-01
URL https://www.aclweb.org/anthology/W16-1501/
PDF https://www.aclweb.org/anthology/W16-1501
PWC https://paperswithcode.com/paper/bibliometrics-information-retrieval-and
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Framework

Better Together: Combining Language and Social Interactions into a Shared Representation

Title Better Together: Combining Language and Social Interactions into a Shared Representation
Authors Yi-Yu Lai, Chang Li, Dan Goldwasser, Jennifer Neville
Abstract
Tasks
Published 2016-06-01
URL https://www.aclweb.org/anthology/W16-1405/
PDF https://www.aclweb.org/anthology/W16-1405
PWC https://paperswithcode.com/paper/better-together-combining-language-and-social
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Framework

Regularizing Relation Representations by First-order Implications

Title Regularizing Relation Representations by First-order Implications
Authors Thomas Demeester, Tim Rockt{"a}schel, Sebastian Riedel
Abstract
Tasks Common Sense Reasoning, Natural Language Inference
Published 2016-06-01
URL https://www.aclweb.org/anthology/W16-1314/
PDF https://www.aclweb.org/anthology/W16-1314
PWC https://paperswithcode.com/paper/regularizing-relation-representations-by
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Framework
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