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Found 44 papers, 3 papers with code
Sonnet Combinatorics with OuPoCo
In this paper, we describe OuPoCo, a system producing new sonnets by recombining verses from existing sonnets, following an idea that Queneau described in his book “Cent Mille Milliards de poèmes, Gallimard”, 1961.
On “Human Parity” and “Super Human Performance” in Machine Translation Evaluation
In this paper, we reassess claims of human parity and super human performance in machine translation.
Text Zoning of Theater Reviews: How Different are Journalistic from Blogger Reviews?
This paper aims at modeling the structure of theater reviews based on contemporary London performances by using text zoning.
Multi-SimLex: A Large-Scale Evaluation of Multilingual and Crosslingual Lexical Semantic Similarity
We introduce Multi-SimLex, a large-scale lexical resource and evaluation benchmark covering data sets for 12 typologically diverse languages, including major languages (e. g., Mandarin Chinese, Spanish, Russian) as well as less-resourced ones (e. g., Welsh, Kiswahili).
How to Evaluate Coreference in Literary Texts?
In this short paper, we examine the main metrics used to evaluate textual coreference and we detail some of their limitations.
On the Correspondence between Compositionality and Imitation in Emergent Neural Communication
Compositionality is a hallmark of human language that not only enables linguistic generalization, but also potentially facilitates acquisition.
Modern French Poetry Generation with RoBERTa and GPT-2
We present a novel neural model for modern poetry generation in French.
Video Games as a Corpus: Sentiment Analysis using Fallout New Vegas Dialog
We conduct experiments on multilingual, multilabel sentiment analysis on the extracted data set using multilingual BERT, XLMRoBERTa and language specific BERT models.
Automatic Generation of Factual News Headlines in Finnish
We present a novel approach to generating news headlines in Finnish for a given news story.
Word Order Matters when you Increase Masking
We find that the necessity of position information increases with the amount of masking, and that masked language models without position encodings are not able to reconstruct this information on the task.
Subject Verb Agreement Error Patterns in Meaningless Sentences: Humans vs. BERT
We compare the performance of BERT-base to that of humans, obtained with a psycholinguistic online crowdsourcing experiment.
Probing for the Usage of Grammatical Number
We also find that BERT uses a separate encoding of grammatical number for nouns and verbs.
Does BERT really agree ? Fine-grained Analysis of Lexical Dependence on a Syntactic Task
Although transformer-based Neural Language Models demonstrate impressive performance on a variety of tasks, their generalization abilities are not well understood.
Automatic Dialect Adaptation in Finnish and its Effect on Perceived Creativity
The models are tested with over 20 different dialects.
Multi-SimLex: A Large-Scale Evaluation of Multilingual and Cross-Lingual Lexical Semantic Similarity
We introduce Multi-SimLex, a large-scale lexical resource and evaluation benchmark covering datasets for 12 typologically diverse languages, including major languages (e. g., Mandarin Chinese, Spanish, Russian) as well as less-resourced ones (e. g., Welsh, Kiswahili).
SEx BiST: A Multi-Source Trainable Parser with Deep Contextualized Lexical Representations
We describe the SEx BiST parser (Semantically EXtended Bi-LSTM parser) developed at Lattice for the CoNLL 2018 Shared Task (Multilingual Parsing from Raw Text to Universal Dependencies).
Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing
Linguistic typology aims to capture structural and semantic variation across the world's languages.
Enjambment Detection in a Large Diachronic Corpus of Spanish Sonnets
Enjambment takes place when a syntactic unit is broken up across two lines of poetry, giving rise to different stylistic effects.
A System for Multilingual Dependency Parsing based on Bidirectional LSTM Feature Representations
In this paper, we present our multilingual dependency parser developed for the CoNLL 2017 UD Shared Task dealing with {``}Multilingual Parsing from Raw Text to Universal Dependencies{''}.
The Role of Intrinsic Motivation in Artificial Language Emergence: a Case Study on Colour
Human languages have multiple strategies that allow us to discriminate objects in a vast variety of contexts.
Exploring a Continuous and Flexible Representation of the Lexicon
We aim at showing that lexical descriptions based on multifactorial and continuous models can be used by linguists and lexicographers (and not only by machines) so long as they are provided with a way to efficiently navigate data collections.
Introduction: Cognitive Issues in Natural Language Processing
This special issue is dedicated to get a better picture of the relationships between computational linguistics and cognitive science.
More than Word Cooccurrence: Exploring Support and Opposition in International Climate Negotiations with Semantic Parsing
Entity linking and keyphrase extraction are also performed on the propositions related to each actor.
Generating Navigable Semantic Maps from Social Sciences Corpora
It is now commonplace to observe that we are facing a deluge of online information.
Archaeology in the Digital Age: From Paper to Databases
Research units in archaeology often manage large and precious archives containing various documents, including reports on fieldwork, scholarly studies and reference books.
Mapping the Economic Crisis: Some Preliminary Investigations
In this paper we describe our contribution to the PoliInformatics 2014 Challenge on the 2007-2008 financial crisis.
Optimality Theory as a Framework for Lexical Acquisition
This paper re-investigates a lexical acquisition system initially developed for French. We show that, interestingly, the architecture of the system reproduces and implements the main components of Optimality Theory.
Reconstructing the Semantic Landscape of Natural Language Processing
Then, the semantic network is built using a co-occurrence analysis of these keywords within the corpus.
ANALEC: a New Tool for the Dynamic Annotation of Textual Data
We introduce ANALEC, a tool which aim is to bring together corpus annotation, visualization and query management.
