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Found 36 papers, 1 papers with code
On the Importance of Diversity in Question Generation for QA
Automatic question generation (QG) has shown promise as a source of synthetic training data for question answering (QA).
Urdu Pitch Accents and Intonation Patterns in Spontaneous Conversational Speech
An intonational inventory of Urdu for spontaneous conversational speech is determined based on the analysis of a hand-labelled data set of telephone conversations.
Design and Evaluation of SentiEcon: a fine-grained Economic/Financial Sentiment Lexicon from a Corpus of Business News
In this paper we present, describe, and evaluate SentiEcon, a large, comprehensive, domain-specific computational lexicon designed for sentiment analysis applications, for which we compiled our own corpus of online business news.
Supervised Hypernymy Detection in Spanish through Order Embeddings
This paper addresses the task of supervised hypernymy detection in Spanish through an order embedding and using pretrained word vectors as input.
Developing NLP Tools with a New Corpus of Learner Spanish
While annotated learner corpora of English are widely available, large learner corpora of Spanish are less common.
Exploiting Citation Knowledge in Personalised Recommendation of Recent Scientific Publications
In this paper we address the problem of providing personalised recommendations of recent scientific publications to a particular user, and explore the use of citation knowledge to do so.
SenZi: A Sentiment Analysis Lexicon for the Latinised Arabic (Arabizi)
As such, texts written in Arabizi are often disregarded in sentiment analysis tasks for Arabic.
MSO with tests and reducts
Tests added to Kleene algebra (by Kozen and others) are considered within Monadic Second Order logic over strings, where they are likened to statives in natural language.
CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense
To produce a more difficult dataset, we introduce a novel procedure for question acquisition in which workers author questions designed to target weaknesses of state-of-the-art neural question answering systems.
Projecting Temporal Properties, Events and Actions
Temporal notions based on a finite set \textit{A} of properties are represented in strings, on which projections are defined that vary the granularity \textit{A}.
Sampling Informative Training Data for RNN Language Models
We propose an unsupervised importance sampling approach to selecting training data for recurrent neural network (RNNs) language models.
Using contextual information for automatic triage of posts in a peer-support forum
Mental health forums are online spaces where people can share their experiences anonymously and get peer support.
VecShare: A Framework for Sharing Word Representation Vectors
Many Natural Language Processing (NLP) models rely on distributed vector representations of words.
Automatic Creation of a Sentence Aligned Sinhala-Tamil Parallel Corpus
A sentence aligned parallel corpus is an important prerequisite in statistical machine translation.
Comprehensive Part-Of-Speech Tag Set and SVM based POS Tagger for Sinhala
This paper presents a new comprehensive multi-level Part-Of-Speech tag set and a Support Vector Machine based Part-Of-Speech tagger for the Sinhala language.
On Stopwords, Filtering and Data Sparsity for Sentiment Analysis of Twitter
In this paper we investigate whether removing stopwords helps or hampers the effectiveness of Twitter sentiment classification methods.
Unsupervised Word Sense Disambiguation with Multilingual Representations
In this paper we investigate the role of multilingual features in improving word sense disambiguation.
A Fast, Memory Efficient, Scalable and Multilingual Dictionary Retriever
This paper presents a novel approach to deal with dictionary retrieval.
Matching Cultural Heritage items to Wikipedia
Digitised Cultural Heritage (CH) items usually have short descriptions and lack rich contextual information.
Mapping WordNet synsets to Wikipedia articles
Lexical knowledge bases (LKBs), such as WordNet, have been shown to be useful for a range of language processing tasks.
