Results 41 to 50 of about 21,648 (265)
SemEval-2023 Task 2: Fine-grained Multilingual Named Entity Recognition (MultiCoNER 2) [PDF]
We present the findings of SemEval-2023 Task 2 on Fine-grained Multilingual Named Entity Recognition (MultiCoNER 2). Divided into 13 tracks, the task focused on methods to identify complex fine-grained named entities (like WRITTENWORK, VEHICLE ...
B. Fetahu +4 more
semanticscholar +1 more source
This paper describes our experience in preparing the data and evaluating the results for three subtasks of SemEval-2007 Task-17 - Lexical Sample, Semantic Role Labeling (SRL) and All-Words respectively. We tabulate and analyze the results of participating systems.
Sameer S. Pradhan +3 more
openaire +1 more source
SemEval-2023 Task 11: Learning with Disagreements (LeWiDi) [PDF]
NLP datasets annotated with human judgments are rife with disagreements between the judges. This is especially true for tasks depending on subjective judgments such as sentiment analysis or offensive language detection. Particularly in these latter cases,
Elisa Leonardelli +8 more
semanticscholar +1 more source
In this paper we describe SemEval-2007 task number 9 (Multilevel Semantic Annotation of Catalan and Spanish). In this task, we aim at evaluating and comparing automatic systems for the annotation of several semantic linguistic levels for Catalan and Spanish.
Lluís Màrquez +3 more
openaire +1 more source
A Method of Word Sense Disambiguation with Recurrent Netural Networks
Word sense disambiguation is an important research problem in natural language processing field. For the phenomenon that a Chinese word has many senses, recurrent neural network (RNN) is used to determine true meaning of ambiguous word with its context ...
ZHANG Chunxiang +2 more
doaj +1 more source
Improving Semantic Dependency Parsing with Higher-Order Information Encoded by Graph Neural Networks
Higher-order information brings significant accuracy gains in semantic dependency parsing. However, modeling higher-order information is non-trivial. Graph neural networks (GNNs) have been demonstrated to be an effective tool for encoding higher-order ...
Bin Li +4 more
doaj +1 more source
We describe the TempEval-2 task which is currently in preparation for the SemEval-2010 evaluation exercise. This task involves identifying the temporal relations between events and temporal expressions in text. Six distinct subtasks are defined, ranging from identifying temporal and event expressions, to anchoring events to temporal expressions, and ...
James Pustejovsky, Marc Verhagen
openaire +1 more source
TWE‐WSD: An effective topical word embedding based word sense disambiguation
Word embedding has been widely used in word sense disambiguation (WSD) and many other tasks in recent years for it can well represent the semantics of words.
Lianyin Jia +5 more
doaj +1 more source
This paper presents the evaluation setting for the SemEval-2010 Word Sense Induction (WSI) task. The setting of the SemEval-2007 WSI task consists of two evaluation schemes, i.e. unsupervised evaluation and supervised evaluation. The first one evaluates WSI methods in a similar fashion to Information Retrieval exercises using F-Score.
Suresh Manandhar, Ioannis P. Klapaftis
openaire +1 more source
Understanding Citizen Issues through Reviews: A Step towards Data Informed Planning in Smart Cities
Governments these days are demanding better Smart City technologies in order to connect with citizens and understand their demands. For such governments, much needed information exists on social media where members belonging to diverse groups share ...
Noman Dilawar +6 more
doaj +1 more source

