Ensemble Methods
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Ensemble Methods for Automatic Thesaurus Extraction
Ensemble methods are state of the art for many NLP tasks. Recent work by Banko and Brill (2001) suggests that this would not necessarily be true if very large training …...
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This paper demonstrates that the use of ensemble methods and carefully calibrat- ing the decision threshold can signifi- cantly improve the performance of ma- chine learning methods for morphologi- cal …...
UGENT-LT3 SCATE System for Machine Translation Quality Estimation
This paper describes the submission of the UGENT-LT3 SCATE system to the WMT15 Shared Task on Quality Estima- tion (QE), viz. English-Spanish word and sentence-level QE. We conceived QE as …...
Improved Semantic Parsers For If-Then Statements
Digital personal assistants are becoming both more common and more useful. The major NLP challenge for personal assis- tants is machine understanding: translat- ing natural language user commands into an …...
SemEval 2016 Task 11: Complex Word Identification
We report the findings of the Complex Word Identification task of SemEval 2016. To cre- ate a dataset, we conduct a user study with 400 non-native English speakers, and find …...
TMLab SRPOL at SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums
AbstractThe article describes our submission to SemEval 2019 Task 8 on Fact-Checking in Community Forums. The systems under discussion participated in Subtask A: decide whether a question asks for factual …...
Mimic and Conquer: Heterogeneous Tree Structure Distillation for Syntactic NLP
AbstractSyntax has been shown useful for various NLP tasks, while existing work mostly encodes singleton syntactic tree using one hierarchical neural network. In this paper, we investigate a simple and …...
SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets
AbstractIn this paper, we present the results of the SemEval-2020 Task 9 on Sentiment Analysis of Code-Mixed Tweets (SentiMix 2020). We also release and describe our Hinglish (Hindi-English)and Spanglish (Spanish-English) …...
Evaluating Neural Model Robustness for Machine Comprehension
AbstractWe evaluate neural model robustness to adversarial attacks using different types of linguistic unit perturbations – character and word, and propose a new method for strategic sentence-level perturbations. We experiment …...
Stronger Baseline for Robust Results in Multimodal Sentiment Analysis
Significant progress in sentiment analysis and emotion recognition has been made recently, and there has also been an increase in the re- quirements for solving real-world problems. However, human language …...
Revisiting the Practical Effectiveness of Constituency Parse Extraction from Pre-trained Language Models
AbstractConstituency Parse Extraction from Pre-trained Language Models (CPE-PLM) is a recent paradigm that attempts to induce constituency parse trees relying only on the internal knowledge of pre-trained language models. While …...
garNER at SemEval-2023: Simplified Knowledge Augmentation for Multilingual Complex Named Entity Recognition
AbstractThis paper presents our solution, garNER, to the SemEval-2023 MultiConer task. We propose a knowledge augmentation approach by directly querying entities from the Wikipedia API and appending the summaries of …...
QCon at SemEval-2023 Task 10: Data Augmentation and Model Ensembling for Detection of Online Sexism
AbstractThe web contains an abundance of user- generated content. While this content is useful for many applications, it poses many challenges due to the presence of offensive, biased, and overall …...
Two Birds One Stone: Dynamic Ensemble for OOD Intent Classification
AbstractOut-of-domain (OOD) intent classification is an active field of natural language understanding, which is of great practical significance for intelligent devices such as the Task-Oriented Dialogue System. It mainly contains …...