Zobrazeno 1 - 10
of 158
pro vyhledávání: '"Gaizauskas, Robert"'
Rulebreakers Challenge: Revealing a Blind Spot in Large Language Models' Reasoning with Formal Logic
Formal logic has long been applied to natural language reasoning, but this approach can sometimes lead to conclusions that, while logically entailed, are factually inconsistent with the premises or are not typically inferred by humans. This study int
Externí odkaz:
http://arxiv.org/abs/2410.16502
Autor:
Tang, Yuxing, Wang, Josiah, Wang, Xiaofang, Gao, Boyang, Dellandrea, Emmanuel, Gaizauskas, Robert, Chen, Liming
Publikováno v:
Published in IEEE Transactions on Pattern Analysis and Machine Intelligence, November 2017
Deep CNN-based object detection systems have achieved remarkable success on several large-scale object detection benchmarks. However, training such detectors requires a large number of labeled bounding boxes, which are more difficult to obtain than i
Externí odkaz:
http://arxiv.org/abs/1801.03145
Autor:
Tait, John (AUTHOR) johntait1001@gmail.com, Gaizauskas, Robert1 (AUTHOR) R.Gaizauskas@sheffield.ac.uk, Bontcheva, Kalina1 (AUTHOR) K.Bontcheva@sheffield.ac.uk
Publikováno v:
Computational Linguistics. Sep2023, Vol. 49 Issue 3, p767-772. 6p.
Autor:
Burman, Amev, Jayapal, Arun, Kannan, Sathish, Kavilikatta, Madhu, Alhelbawy, Ayman, Derczynski, Leon, Gaizauskas, Robert
This paper describes the University of Sheffield's entry in the 2011 TAC KBP entity linking and slot filling tasks. We chose to participate in the monolingual entity linking task, the monolingual slot filling task and the temporal slot filling tasks.
Externí odkaz:
http://arxiv.org/abs/1203.5073
Publikováno v:
Proc. IR4QA Workshop (2008) 34-41
Automated answering of natural language questions is an interesting and useful problem to solve. Question answering (QA) systems often perform information retrieval at an initial stage. Information retrieval (IR) performance, provided by engines such
Externí odkaz:
http://arxiv.org/abs/1203.5084
Autor:
Derczynski, Leon, Gaizauskas, Robert
Publikováno v:
Proc. 6th Joint ACL-ISO Workshop on Interoperable Semantic Annotation (2011) 10-17
In this paper we present RTMML, a markup language for the tenses of verbs and temporal relations between verbs. There is a richness to tense in language that is not fully captured by existing temporal annotation schemata. Following Reichenbach we pre
Externí odkaz:
http://arxiv.org/abs/1203.5062
Autor:
Derczynski, Leon, Gaizauskas, Robert
Temporal information conveyed by language describes how the world around us changes through time. Events, durations and times are all temporal elements that can be viewed as intervals. These intervals are sometimes temporally related in text. Automat
Externí odkaz:
http://arxiv.org/abs/1203.5055
Autor:
Derczynski, Leon, Gaizauskas, Robert
Publikováno v:
Proc. 5th International Workshop on Semantic Evaluation (2010) 337-340
We describe the University of Sheffield system used in the TempEval-2 challenge, USFD2. The challenge requires the automatic identification of temporal entities and relations in text. USFD2 identifies and anchors temporal expressions, and also attemp
Externí odkaz:
http://arxiv.org/abs/1203.5060
Autor:
Derczynski, Leon, Gaizauskas, Robert
Publikováno v:
Proc. LREC (2010) 398-404
We present CAVaT, a tool that performs Corpus Analysis and Validation for TimeML. CAVaT is an open source, modular checking utility for statistical analysis of features specific to temporally-annotated natural language corpora. It provides reporting,
Externí odkaz:
http://arxiv.org/abs/1203.5051
Autor:
Derczynski, Leon, Gaizauskas, Robert
Publikováno v:
Proceedings of the 6th Conference on Corpus Linguistics (2011), No. 197, pp. 1--8
Automatic temporal ordering of events described in discourse has been of great interest in recent years. Event orderings are conveyed in text via va rious linguistic mechanisms including the use of expressions such as "before", "after" or "during" th
Externí odkaz:
http://arxiv.org/abs/1203.5066