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TimeML: Robust Specification of Event and Temporal Expressions in Text
TLDR
TimeML is described, a rich specification language for event and temporal expressions in natural language text, developed in the context of the AQUAINT program on Question Answering Systems, and demonstrated for a delayed (underspecified) interpretation of partially determined temporal expressions.
SemEval-2007 Task 15: TempEval Temporal Relation Identification
TLDR
The TempEval task proposes a simple way to evaluate automatic extraction of temporal relations by defining three sub tasks that allow pairwise evaluation of temporal Relations.
The Specification Language TimeML
TLDR
This paper provides a description of TimeML, a rich specification language for event and temporal expressions in natural language text, developed in the context of the AQUAINT program on Question Answering Systems, and demonstrates the expressiveness of timeML for a broad range of syntactic and semantic contexts.
Automatic Identification of Non-Compositional Multi-Word Expressions using Latent Semantic Analysis
TLDR
It is proposed that vector-similarity between distribution vectors associated with an MWE as a whole and those associated with its constituent parts can serve as a good measure of the degree to which the MWE is compositional.
'Beating the news' with EMBERS: forecasting civil unrest using open source indicators
We describe the design, implementation, and evaluation of EMBERS, an automated, 24x7 continuous system for forecasting civil unrest across 10 countries of Latin America using open source indicators
The Non-Subject Bias of German Demonstrative Pronouns
This paper presents evidence from both corpus studies and psycholinguistic experiments regarding the referential preferences of German personal pronouns (er sie, es) and demonstrative pronouns (der,
Annotating, Extracting and Reasoning About Time and Events
TLDR
The main focus of the seminar was on TimeML-based temporal annotation and reasoning, and determining what modifications should be applied to the standard to improve its usefulness in applications such as question-answering and information retrieval.
Toward Fine-grained Annotation of Modality in Text
TLDR
A linguistically-informed schema for annotating modal expressions and its application to a subset of the MPQA corpus of English texts, using inter-annotator reliability results to support a two-way distinction between priority and nonpriority modality types.
Event arguments, adverb selection, and the Stative Adverb Gap ∗
TLDR
The central issue here is how to account for a particular case of verb-adverb selection, which is argued to reflect a fundamental type-logical difference between the denotation of stative verbs and eventive verbs.
Planned Protest Modeling in News and Social Media
TLDR
A system for detecting future time mentions in relevant news and social media in countries where civil unrest is lawful is developed, using a combination of key phrase learning to identify what to look for, probabilistic soft logic to reason about location occurrences in extracted results, and time normalization to resolve future tense mentions.
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