Preprocessing

The purpose of this paper is to describe the functions and procedures of the eight components of the Panglyzer Spanish analyzer of the knowledge-based engine of the Pangloss machine translation …...

We present a named entity recognition and classification system that uses only probabilis- tic character-level features. Classifications by multiple orthographic tries are combined in a hidden Markov model framework to …...

Statistical machine translation is quite ro- bust when it comes to the choice of in- put representation. It only requires con- sistency between training and testing. As a result, there …...

AbstractAnnotation of digitized pages from historical document collections is very important to research on automatic extraction of text blocks, lines, and handwriting recognition. We have recently introduced a new handwritten …...

AbstractIn this paper we report on the experiences gained in the recent construction of the SoNaR corpus, a 500 MW reference corpus of contemporary, written Dutch. It shows what can …...

Prosodic variations in unit-based speech synthesis: the example of interrogative sentences This paper proposes an automatic method to increase the number of possible prosodic variations in non-uniform unit-based speech synthesis. …...

Arabic is a morphologically rich and complex language, which presents signifi- cant challenges for natural language pro- cessing and machine translation. In this paper, we describe an ongoing effort to …...

In this paper, we describe the UKP Lab sys- tem participating in the Semeval-2013 task “Word Sense Induction and Disambiguation within an End-User Application”. Our ap- proach uses preprocessing, co-occurrence …...

AbstractWe present the project of creating CoRoLa, a reference corpus of contemporary Romanian (from 1945 onwards). In the international context, the project finds its place among the initiatives of gathering …...

This paper presents the system submitted by KUNLPLab for SemEval-2014 Task9 - Subtask B: Message Polarity on Twitter data. Lexicon features and bag-of-words features are mainly used to represent the …...

This paper describes TwitterHawk, a system for sentiment analysis of tweets which partici- pated in the SemEval-2015 Task 10, Subtasks A through D. The system performed com- petitively, most notably …...

AbstractPreprocessing is a preliminary step in many fields including IR and NLP. The effect of basic preprocessing settings on English for text summarization is well-studied. However, there is no such …...

Semantic dependency parsing aims at ex- tracting arcs and semantic role labels for all words in a sentence. In this paper, we propose a semantic dependency parser which is based …...

The WMT17 Neural Machine Translation Training Task aims to test various methods of training neural machine translation sys- tems. We describe the AFRL submission, including preprocessing and its knowledge distillation …...

AbstractWith the system description it is shown how to use the context information while detecting the emotion in a dialogue. Some guidelines about how to handle emojis was also laid …...

AbstractWe present CAMeL Tools, a collection of open-source tools for Arabic natural language processing in Python. CAMeL Tools currently provides utilities for pre-processing, morphological modeling, Dialect Identification, Named Entity Recognition …...

AbstractEntity normalization (or entity linking) is an important subtask of information extraction that links entity mentions in text to categories or concepts in a reference vocabulary. Machine learning based normalization …...

AbstractRecent progress in text classification has been focused on high-resource languages such as English and Chinese. For low-resource languages, amongst them most African languages, the lack of well-annotated data and …...

AbstractWord embeddings have been successfully trained in many languages. However, both intrinsic and extrinsic metrics are variable across languages, especially for languages that depart significantly from English in morphology and …...

Preprocessing is essential for creating more ef- fective features and reducing noise in classifi- cation, especially in user-generated data (e.g. Twitter). How each individual preprocessing decision changes an individual classifier’s …...

AbstractThere is an incredible amount of information available in the form of textual documents due to the growth of information sources. In order to get the information into an actionable …...

AbstractThe paper describes our submission to SemEval-2022 Task 6 on sarcasm detection and its five subtasks for English and Arabic. Sarcasm conveys a meaning which contradicts the literal meaning, and …...

AbstractReproducibility is of utmost concern in machine learning and natural language processing (NLP). In the field of natural language generation (especially machine translation), the seminal paper of Post (2018) has …...