Задача 2
Related Papers
COLEPL and COLSLM: An Unsupervised WSD Approach to Multilingual Lexical Substitution, Tasks 2 and 3 SemEval 2010
In this paper, we present a word sense disambiguation (WSD) based system for multilingual lexical substitution. Our method depends on having a WSD system for English and an automatic word …...
Quality Estimation for Machine Translation Using the Joint Method of Evaluation Criteria and Statistical Modeling
This paper is to introduce our participation in the WMT13 shared tasks on Quality Estima- tion for machine translation without using ref- erence translations. We submitted the results for Task …...
ezDI: A Supervised NLP System for Clinical Narrative Analysis
This paper describes the approach used by ezDI at the SemEval 2015 Task-14: ”Anal- ysis of Clinical Text”. The task was di- vided into two embedded tasks. Task-1 re- quired …...
SHEF-NN: Translation Quality Estimation with Neural Networks
We describe our systems for Tasks 1 and 2 of the WMT15 Shared Task on Qual- ity Estimation. Our submissions use (i) a continuous space language model to ex- tract …...
UWM: A Simple Baseline Method for Identifying Attributes of Disease and Disorder Mentions in Clinical Text
In this paper the system that was developed by Team UWM for the Task 14 of SemEval 2015 competition is described. Task 14 included two tasks: Task 1 was identification …...
UMDSub at SemEval-2018 Task 2: Multilingual Emoji Prediction Multi-channel Convolutional Neural Network on Subword Embedding
AbstractThis paper describes the UMDSub system that participated in Task 2 of SemEval-2018. We developed a system that predicts an emoji given the raw text in a English tweet. The …...
Competence-Level Prediction and Resume & Job Description Matching Using Context-Aware Transformer Models
AbstractThis paper presents a comprehensive study on resume classification to reduce the time and labor needed to screen an overwhelming number of applications significantly, while improving the selection of suitable …...
SemEval-2020 Task 2: Predicting Multilingual and Cross-Lingual (Graded) Lexical Entailment
AbstractLexical entailment (LE) is a fundamental asymmetric lexico-semantic relation, supporting the hierarchies in lexical resources (e.g., WordNet, ConceptNet) and applications like natural language inference and taxonomy induction. Multilingual and cross-lingual …...
SarcasmDet at SemEval-2021 Task 7: Detect Humor and Offensive based on Demographic Factors using RoBERTa Pre-trained Model
AbstractThis paper presents one of the top winning solution systems for task 7 at SemEval2021, HaHackathon: Detecting and Rating Humor and Offense. This competition is divided into two tasks, task1 …...
The JHU-Microsoft Submission for WMT21 Quality Estimation Shared Task
AbstractThis paper presents the JHU-Microsoft joint submission for WMT 2021 quality estimation shared task. We only participate in Task 2 (post-editing effort estimation) of the shared task, focusing on the …...