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Found 13 papers, 4 papers with code
Pre-tokenization of Multi-word Expressions in Cross-lingual Word Embeddings
We propose a simple method for word translation of MWEs to and from English in ten languages: we first compile lists of MWEs in each language and then tokenize the MWEs as single tokens before training word embeddings.
LITE: Intent-based Task Representation Learning Using Weak Supervision
Users write to-dos as personal notes to themselves, about things they need to complete, remember or organize.
Contextualized Word Vector-based Methods for Discovering Semantic Differences with No Training nor Word Alignment
In this paper, we propose methods for discovering semantic differences in words appearing in two corpora based on the norms of contextualized word vectors.
Construction Grammar Provides Unique Insight into Neural Language Models
Construction Grammar (CxG) has recently been used as the basis for probing studies that have investigated the performance of large pretrained language models (PLMs) with respect to the structure and meaning of constructions.
Neural Polysynthetic Language Modelling
In the literature, languages like Finnish or Turkish are held up as extreme examples of complexity that challenge common modelling assumptions.
What A Sunny Day ☔: Toward Emoji-Sensitive Irony Detection
Irony detection is an important task with applications in identification of online abuse and harassment.
Toward Comprehensive Understanding of a Sentiment Based on Human Motives
In sentiment detection, the natural language processing community has focused on determining holders, facets, and valences, but has paid little attention to the reasons for sentiment decisions.
The ARIEL-CMU Systems for LoReHLT18
This paper describes the ARIEL-CMU submissions to the Low Resource Human Language Technologies (LoReHLT) 2018 evaluations for the tasks Machine Translation (MT), Entity Discovery and Linking (EDL), and detection of Situation Frames in Text and Speech (SF Text and Speech).
Unsupervised Cross-lingual Transfer of Word Embedding Spaces
Supervised methods for this problem rely on the availability of cross-lingual supervision, either using parallel corpora or bilingual lexicons as the labeled data for training, which may not be available for many low resource languages.
Cross-lingual Knowledge Projection Using Machine Translation and Target-side Knowledge Base Completion
Considerable effort has been devoted to building commonsense knowledge bases.
Large-Scale Acquisition of Commonsense Knowledge via a Quiz Game on a Dialogue System
Commonsense knowledge is essential for fully understanding language in many situations.
