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Learning Prototypical Functions for Physical Artifacts ...
Abstract: Read paper: https://www.aclanthology.org/2021.acl-long.540 Abstract: Humans create things for a reason. Ancient people created spears for hunting, knives for cutting meat, pots for preparing food, etc. The prototypical function of a physical artifact is a kind of commonsense knowledge that we rely on to understand natural language. For example, if someone says "She borrowed the book" then you would assume that she intends to read the book, or if someone asks "Can I use your knife?" then you would assume that they need to cut something. In this paper, we introduce a new NLP task of learning the prototypical uses for human-made physical objects. We use frames from FrameNet to represent a set of common functions for objects, and describe a manually annotated data set of physical objects labeled with their prototypical function. We also present experimental results for this task, including BERT-based models that use predictions from masked patterns as well as artifact sense definitions from WordNet and frame ...
URL: https://dx.doi.org/10.48448/ah91-8j33
https://underline.io/lecture/25771-learning-prototypical-functions-for-physical-artifacts
BASE
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2
Multi-Multi-View Learning: Multilingual and Multi-Representation Entity Typing
Yaghoobzadeh, Yadollah; Schütze, Hinrich; Riloff, Ellen. - : Ludwig-Maximilians-Universität München, 2018
BASE
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3
A Probabilistic Annotation Model for Crowdsourcing Coreference
Kruschwitz, Udo; Chamberlain, Jon; Yu, Juntao. - : Association for Computational Linguistics, 2018
BASE
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4
Investigating the role of argumentation in the rhetorical analysis of scientific publications with neural multi-task learning models
Ponzetto, Simone Paolo; Eckert, Kai; Lauscher, Anne. - : Association for Computational Linguistics, 2018
BASE
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5
Adversarial propagation and zero-shot cross-lingual transfer of word vector specialization
Ponti, Edoardo Maria; Vulić, Ivan; Glavaš, Goran. - : Association for Computational Linguistics, 2018
BASE
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6
The EventStatus Corpus
Huang, Ruihong; Jurafsky, Daniel; Riloff, Ellen. - : Linguistic Data Consortium, 2017. : https://www.ldc.upenn.edu, 2017
BASE
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7
And That's A Fact: Distinguishing Factual and Emotional Argumentation in Online Dialogue ...
BASE
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8
Are you serious?: Rhetorical Questions and Sarcasm in Social Media Dialog ...
BASE
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9
The EventStatus Corpus ...
Huang, Ruihong; Jurafsky, Daniel; Riloff, Ellen. - : Linguistic Data Consortium, 2017
BASE
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10
Creating and Characterizing a Diverse Corpus of Sarcasm in Dialogue ...
BASE
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11
Domain-specific coreference resolution with lexicalized features
Gilbert, Nathan; Riloff, Ellen M.. - : Association for Computational Linguistics, 2014
BASE
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12
Information extraction
In: Handbook of natural language processing (Boca Raton, Fla., 2010), p. 511-532
MPI für Psycholinguistik
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13
Reconcile: A Coreference Resolution Research Platform
BASE
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14
Inducing domain-specific semantic class taggers from (almost) nothing
In: Association for Computational Linguistics. Proceedings of the conference. - Stroudsburg, Penn. : ACL 48 (2010) 1, 275-285
BLLDB
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15
Coreference Resolution With Reconcile
In: DTIC (2010)
BASE
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16
Conundrums in noun phrase coreference resolution: making sense of the state-of-the-art
Riloff, Ellen M.; Stoyanov, Veselin; Gilbert, Nathan; Cardie, Claire. - : Association for Computational Linguistics, 2009
BASE
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17
Toward completeness in concept extraction and classification
Riloff, Ellen M.; Hovy, Eduard; Kozareva, Zornitsa. - : Association for Computational Linguistics, 2009
BASE
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18
Corpus-based semantic lexicon induction with web-based corroboration
Igo, Sean P.; Riloff, Ellen M.. - : Association for Computational Linguistics, 2009
BASE
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19
Unified model of phrasal and sentential evidence for information extraction
Riloff, Ellen M.; Patwardhan, Siddharth. - : Association for Computational Linguistics, 2009
BASE
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20
Semantic class learning from the web with hyponym pattern linkage graphs
Riloff, Ellen M.; Kozareva, Zornitsa; Hovy, Eduard. - : Association for Computational Linguistics, 2008
BASE
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