Katharina Kann

CLiMP: A Benchmark for Chinese Language Model Evaluation

Linguistically informed analyses of language models (LMs) contribute to ...
01/26/2021 ∙ by Beilei Xiang, et al. ∙ 0 ∙ share

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Coloring the Black Box: What Synesthesia Tells Us about Character Embeddings

In contrast to their word- or sentence-level counterparts, character emb...
01/26/2021 ∙ by Katharina Kann, et al. ∙ 3 ∙ share

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Tackling the Low-resource Challenge for Canonical Segmentation

Canonical morphological segmentation consists of dividing words into the...
10/06/2020 ∙ by Manuel Mager, et al. ∙ 0 ∙ share

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Acrostic Poem Generation

We propose a new task in the area of computational creativity: acrostic ...
10/05/2020 ∙ by Rajat Agarwal, et al. ∙ 0 ∙ share

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The NYU-CUBoulder Systems for SIGMORPHON 2020 Task 0 and Task 2

We describe the NYU-CUBoulder systems for the SIGMORPHON 2020 Task 0 on ...
06/21/2020 ∙ by Assaf Singer, et al. ∙ 0 ∙ share

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The SIGMORPHON 2020 Shared Task on Unsupervised Morphological Paradigm Completion

In this paper, we describe the findings of the SIGMORPHON 2020 shared ta...
05/28/2020 ∙ by Katharina Kann, et al. ∙ 0 ∙ share

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Self-Training for Unsupervised Parsing with PRPN

Neural unsupervised parsing (UP) models learn to parse without access to...
05/27/2020 ∙ by Anhad Mohananey, et al. ∙ 0 ∙ share

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English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too

Intermediate-task training has been shown to substantially improve pretr...
05/26/2020 ∙ by Jason Phang, et al. ∙ 0 ∙ share

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The IMS-CUBoulder System for the SIGMORPHON 2020 Shared Task on Unsupervised Morphological Paradigm Completion

In this paper, we present the systems of the University of Stuttgart IMS...
05/25/2020 ∙ by Manuel Mager, et al. ∙ 0 ∙ share

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Unsupervised Morphological Paradigm Completion

We propose the task of unsupervised morphological paradigm completion. G...
05/03/2020 ∙ by Huiming Jin, et al. ∙ 0 ∙ share

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Intermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work?

While pretrained models such as BERT have shown large gains across natur...
05/01/2020 ∙ by Yada Pruksachatkun, et al. ∙ 0 ∙ share

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Weakly Supervised POS Taggers Perform Poorly on Truly Low-Resource Languages

Part-of-speech (POS) taggers for low-resource languages which are exclus...
04/28/2020 ∙ by Katharina Kann, et al. ∙ 0 ∙ share

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Learning to Learn Morphological Inflection for Resource-Poor Languages

We propose to cast the task of morphological inflection - mapping a lemm...
04/28/2020 ∙ by Katharina Kann, et al. ∙ 0 ∙ share

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Grammatical Gender, Neo-Whorfianism, and Word Embeddings: A Data-Driven Approach to Linguistic Relativity

The relation between language and thought has occupied linguists for at ...
10/22/2019 ∙ by Katharina Kann, et al. ∙ 0 ∙ share

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Acquisition of Inflectional Morphology in Artificial Neural Networks With Prior Knowledge

How does knowledge of one language's morphology influence learning of in...
10/12/2019 ∙ by Katharina Kann, et al. ∙ 0 ∙ share

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Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set

Development sets are impractical to obtain for real low-resource languag...
09/04/2019 ∙ by Katharina Kann, et al. ∙ 0 ∙ share

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Transductive Auxiliary Task Self-Training for Neural Multi-Task Models

Multi-task learning and self-training are two common ways to improve a m...
08/16/2019 ∙ by Johannes Bjerva, et al. ∙ 0 ∙ share

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Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings

Word embeddings typically represent different meanings of a word in a si...
06/09/2019 ∙ by Yadollah Yaghoobzadeh, et al. ∙ 0 ∙ share

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Subword-Level Language Identification for Intra-Word Code-Switching

Language identification for code-switching (CS), the phenomenon of alter...
04/03/2019 ∙ by Manuel Mager, et al. ∙ 0 ∙ share

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Verb Argument Structure Alternations in Word and Sentence Embeddings

Verbs occur in different syntactic environments, or frames. We investiga...
11/27/2018 ∙ by Katharina Kann, et al. ∙ 0 ∙ share

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The CoNLL--SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection

The CoNLL--SIGMORPHON 2018 shared task on supervised learning of morphol...
10/16/2018 ∙ by Ryan Cotterell, et al. ∙ 0 ∙ share

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Neural Transductive Learning and Beyond: Morphological Generation in the Minimal-Resource Setting

Neural state-of-the-art sequence-to-sequence (seq2seq) models often do n...
09/24/2018 ∙ by Katharina Kann, et al. ∙ 0 ∙ share

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Sentence-Level Fluency Evaluation: References Help, But Can Be Spared!

Motivated by recent findings on the probabilistic modeling of acceptabil...
09/24/2018 ∙ by Katharina Kann, et al. ∙ 0 ∙ share

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Evaluating Word Embeddings in Multi-label Classification Using Fine-grained Name Typing

Embedding models typically associate each word with a single real-valued...
07/18/2018 ∙ by Yadollah Yaghoobzadeh, et al. ∙ 0 ∙ share

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Lost in Translation: Analysis of Information Loss During Machine Translation Between Polysynthetic and Fusional Languages

Machine translation from polysynthetic to fusional languages is a challe...
07/01/2018 ∙ by Manuel Mager, et al. ∙ 0 ∙ share

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Fortification of Neural Morphological Segmentation Models for Polysynthetic Minimal-Resource Languages

Morphological segmentation for polysynthetic languages is challenging, b...
04/17/2018 ∙ by Katharina Kann, et al. ∙ 0 ∙ share

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Unlabeled Data for Morphological Generation With Character-Based Sequence-to-Sequence Models

We present a semi-supervised way of training a character-based encoder-d...
05/17/2017 ∙ by Katharina Kann, et al. ∙ 0 ∙ share

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One-Shot Neural Cross-Lingual Transfer for Paradigm Completion

We present a novel cross-lingual transfer method for paradigm completion...
03/31/2017 ∙ by Katharina Kann, et al. ∙ 0 ∙ share

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Comparative Study of CNN and RNN for Natural Language Processing

Deep neural networks (DNN) have revolutionized the field of natural lang...
02/07/2017 ∙ by Wenpeng Yin, et al. ∙ 0 ∙ share

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Neural Multi-Source Morphological Reinflection

We explore the task of multi-source morphological reinflection, which ge...
12/19/2016 ∙ by Katharina Kann, et al. ∙ 0 ∙ share

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Single-Model Encoder-Decoder with Explicit Morphological Representation for Reinflection

Morphological reinflection is the task of generating a target form given...
06/02/2016 ∙ by Katharina Kann, et al. ∙ 0 ∙ share

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Katharina Kann

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