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Found 19 papers, 9 papers with code
Midas Loop: A Prioritized Human-in-the-Loop Annotation for Large Scale Multilayer Data
Large scale annotation of rich multilayer corpus data is expensive and time consuming, motivating approaches that integrate high quality automatic tools with active learning in order to prioritize human labeling of hard cases.
Closing the NLP Gap Documentary Linguistics and NLP Need a Shared Software Infrastructure
For decades, researchers in natural language processing and computational linguistics have been developing models and algorithms that aim to serve the needs of language documentation projects.
Xposition: An Online Multilingual Database of Adpositional Semantics
We present Xposition, an online platform for documenting adpositional semantics across languages in terms of supersenses (Schneider et al., 2018).
TAMS: Translation-Assisted Morphological Segmentation
Canonical morphological segmentation is the process of analyzing words into the standard (aka underlying) forms of their constituent morphemes.
eRST: A Signaled Graph Theory of Discourse Relations and Organization
In this article we present Enhanced Rhetorical Structure Theory (eRST), a new theoretical framework for computational discourse analysis, based on an expansion of Rhetorical Structure Theory (RST).
Syntactic Inductive Bias in Transformer Language Models: Especially Helpful for Low-Resource Languages?
A line of work on Transformer-based language models such as BERT has attempted to use syntactic inductive bias to enhance the pretraining process, on the theory that building syntactic structure into the training process should reduce the amount of data needed for training.
GENTLE: A Genre-Diverse Multilayer Challenge Set for English NLP and Linguistic Evaluation
We evaluate state-of-the-art NLP systems on GENTLE and find severe degradation for at least some genres in their performance on all tasks, which indicates GENTLE's utility as an evaluation dataset for NLP systems.
PrOnto: Language Model Evaluations for 859 Languages
Evaluation datasets are critical resources for measuring the quality of pretrained language models.
MicroBERT: Effective Training of Low-resource Monolingual BERTs through Parameter Reduction and Multitask Learning
Transformer language models (TLMs) are critical for most NLP tasks, but they are difficult to create for low-resource languages because of how much pretraining data they require.
BERT Has Uncommon Sense: Similarity Ranking for Word Sense BERTology
An important question concerning contextualized word embedding (CWE) models like BERT is how well they can represent different word senses, especially those in the long tail of uncommon senses.
DisCoDisCo at the DISRPT2021 Shared Task: A System for Discourse Segmentation, Classification, and Connective Detection
This paper describes our submission to the DISRPT2021 Shared Task on Discourse Unit Segmentation, Connective Detection, and Relation Classification.
Supersense and Sensibility: Proxy Tasks for Semantic Annotation of Prepositions
Prepositional supersense annotation is time-consuming and requires expert training.
AMALGUM -- A Free, Balanced, Multilayer English Web Corpus
We present a freely available, genre-balanced English web corpus totaling 4M tokens and featuring a large number of high-quality automatic annotation layers, including dependency trees, non-named entity annotations, coreference resolution, and discourse trees in Rhetorical Structure Theory.
A Summary of the First Workshop on Language Technology for Language Documentation and Revitalization
Despite recent advances in natural language processing and other language technology, the application of such technology to language documentation and conservation has been limited.
Supervised Grapheme-to-Phoneme Conversion of Orthographic Schwas in Hindi and Punjabi
Hindi grapheme-to-phoneme (G2P) conversion is mostly trivial, with one exception: whether a schwa represented in the orthography is pronounced or unpronounced (deleted).
B. Rex: a dialogue agent for book recommendations
We present B. Rex, a dialogue agent for book recommendations.
A Discourse Signal Annotation System for RST Trees
This paper presents a new system for open-ended discourse relation signal annotation in the framework of Rhetorical Structure Theory (RST), implemented on top of an online tool for RST annotation.
