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Robust Disambiguation of Named Entities in Text
TLDR
This paper presents a robust method for collective disambiguation, by harnessing context from knowledge bases and using a new form of coherence graph. Expand
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Grounding Action Descriptions in Videos
TLDR
We present a general purpose corpus that aligns high quality videos with multiple natural language descriptions of the actions portrayed in the videos, together with an annotation of how similar the action descriptions are to each other. Expand
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Contextualizing Semantic Representations Using Syntactically Enriched Vector Models
TLDR
We present a syntactically enriched vector model that supports the computation of contextualized semantic representations in a quasi compositional fashion. Expand
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Translating Video Content to Natural Language Descriptions
TLDR
We generate a rich semantic representation of the visual content including e.g. object and activity labels. Expand
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SemEval-2018 Task 11: Machine Comprehension Using Commonsense Knowledge
TLDR
This report summarizes the results of the SemEval 2018 task on machine comprehension using commonsense knowledge. Expand
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MCScript: A Novel Dataset for Assessing Machine Comprehension Using Script Knowledge
TLDR
We introduce a large dataset of narrative texts and questions about these texts, intended to be used in a machine comprehension task that requires reasoning using commonsense knowledge. Expand
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Word Meaning in Context: A Simple and Effective Vector Model
TLDR
We present a model that represents word meaning in context by vectors which are modified according to the words in the target's syntactic context, based on distributional information about the context words. Expand
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What Substitutes Tell Us - Analysis of an "All-Words" Lexical Substitution Corpus
TLDR
We present the first large-scale English “allwords lexical substitution” corpus, comparing them to WordNet synsets. Expand
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Bridging the gap between underspecification formalisms: hole semantics as dominance constraints
TLDR
We define a back-and-forth translation between Hole Semantics and dominance constraints, two formalisms used in underspecified semantics. Expand
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Ranking Paraphrases in Context
TLDR
We present a vector space model that supports the computation of appropriate vector representations for words in context, and apply it to a paraphrase ranking task. Expand
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