Search Results for author:
Found 6 papers, 3 papers with code
Hierarchical Encoders for Modeling and Interpreting Screenplays
While natural language understanding of long-form documents is still an open challenge, such documents often contain structural information that can inform the design of models for encoding them.
A Margin-based Loss with Synthetic Negative Samples for Continuous-output Machine Translation
Neural models that eliminate the softmax bottleneck by generating word embeddings (rather than multinomial distributions over a vocabulary) attain faster training with fewer learnable parameters.
CMU-01 at the SIGMORPHON 2019 Shared Task on Crosslinguality and Context in Morphology
This paper presents the submission by the CMU-01 team to the SIGMORPHON 2019 task 2 of Morphological Analysis and Lemmatization in Context.
Contextual Affective Analysis: A Case Study of People Portrayals in Online #MeToo Stories
We show that while these articles are sympathetic towards women who have experienced sexual harassment, they consistently present men as most powerful, even after sexual assault allegations.
Social and Information Networks
Language Modeling for Code-Mixing: The Role of Linguistic Theory based Synthetic Data
Training language models for Code-mixed (CM) language is known to be a difficult problem because of lack of data compounded by the increased confusability due to the presence of more than one language.
Automatic Speech Recognition (ASR)
Language Identification
+3
Grammatical Constraints on Intra-sentential Code-Switching: From Theories to Working Models
We make one of the first attempts to build working models for intra-sentential code-switching based on the Equivalence-Constraint (Poplack 1980) and Matrix-Language (Myers-Scotton 1993) theories.
