15 citations · 21 across the 6 of their papers we have counts for
6 papers · 1 filter
FinChat: Corpus and evaluation setup for Finnish chat conversations on everyday topics
Katri Leino, Juho Leinonen, Mittul Singh +2
Creating open-domain chatbots requires large amounts of conversational data and related benchmark tasks to evaluate them. Standardized evaluation tasks are crucial for creating aut…
Effects of Language Relatedness for Cross-lingual Transfer Learning in Character-Based Language Models
Mittul Singh, Peter Smit, Sami Virpioja +1
Character-based Neural Network Language Models (NNLM) have the advantage of smaller vocabulary and thus faster training times in comparison to NNLMs based on multi-character units.…
Subword RNNLM Approximations for Out-Of-Vocabulary Keyword Search
Mittul Singh, Sami Virpioja, Peter Smit +1
In spoken Keyword Search, the query may contain out-of-vocabulary (OOV) words not observed when training the speech recognition system. Using subword language models (LMs) in the f…
Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling
Debjit Paul, Mittul Singh, Michael A. Hedderich +1
In this paper, we address the problem of effectively self-training neural networks in a low-resource setting. Self-training is frequently used to automatically increase the amount…
Long-Short Range Context Neural Networks for Language Modeling
Youssef Oualil, Mittul Singh, Clayton Greenberg +1
The goal of language modeling techniques is to capture the statistical and structural properties of natural languages from training corpora. This task typically involves the learni…
Sequential Recurrent Neural Networks for Language Modeling
Youssef Oualil, Clayton Greenberg, Mittul Singh +1
Feedforward Neural Network (FNN)-based language models estimate the probability of the next word based on the history of the last N words, whereas Recurrent Neural Networks (RNN) p…