The Event StoryLine Corpus: A New Benchmark for Causal and Temporal Relation Extraction
نویسندگان
چکیده
This paper reports on the Event StoryLine Corpus (ESC) v0.9, a new benchmark dataset for the temporal and causal relation detection. By developing this dataset, we also introduce a new task, the StoryLine Extraction from news data, which aims at extracting and classifying events relevant for stories, from across news documents spread in time and clustered around a single seminal event or topic. In addition to describing the dataset, we also report on three baselines systems whose results show the complexity of the task and suggest directions for the development of more robust systems.
منابع مشابه
The Storyline Annotation and Representation Scheme (StaR): A Proposal
This paper illustrates a proposal for the development of an annotation scheme and a corpus for storyline extraction and evaluation from large collections of documents clustered around a topic. The scheme extends existing annotation efforts for event coreference and temporal processing, introducing additional layers and addressing shortcomings. We also show how a storyline can be derived from th...
متن کاملنقش حروف ربط زمان دار در تعیین رابطۀ زمانی بین رویدادهای فعلی در پیکرۀ متون زبان فارسی معاصر
This paper involves in prediction of temporal relation between tensed-verb events on the basis of conjunctions in texts. For this purpose, tensed verb event data were extracted from Contemporary Persian Corpus and were examined carefully. The temporal relations between events were identified. After analyzing data on the basis of temporal relation according to Bird’s and Allen’s categorization, ...
متن کاملAnnotating Inter-Sentence Temporal Relations in Clinical Notes
Owing in part to the surge of interest in temporal relation extraction, a number of datasets manually annotated with temporal relations between event-event pairs and event-time pairs have been produced recently. However, it is not uncommon to find missing annotations in these manually annotated datasets. Many researchers attributed this problem to ”annotator fatigue”. While some of these missin...
متن کاملBuilding a Corpus of Temporal-Causal Structure
While recent corpus annotation efforts cover a wide variety of semantic structures, work on temporal and causal relations is still in its early stages. Annotation efforts have typically considered either temporal relations or causal relations, but not both, and no corpora currently exist that allow the relation between temporals and causals to be examined empirically. We have annotated a corpus...
متن کاملCausal Relation Extraction Using Cue Phrase and Lexical Pair Probabilities
This work aims to extract causal relations that exist between two events expressed by noun phrases or sentences. The previous works for the causality made use of causal patterns such as causal verbs. We concentrate on the information obtained from other causal event pairs. If two event pairs share some lexical pairs and one of them is revealed to be causally related, the causal probability of a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2017